CN113161011A - Method, device and system for early warning of adverse reaction between medicines - Google Patents
Method, device and system for early warning of adverse reaction between medicines Download PDFInfo
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Abstract
The application provides an inter-drug adverse reaction early warning method, an early warning device and an early warning system, wherein the early warning method comprises the following steps: constructing a Chinese and western medicine interaction ontology, and storing the constructed Chinese and western medicine interaction ontology in an ontology knowledge base; the Chinese and western medicine interaction ontology comprises a semantic type, an instantiation entity and a semantic relation; constructing an inference rule based on description logic; the reasoning rules are constructed based on corresponding interaction results in the interaction of the Chinese and western medicine types and the medicine components; acquiring the name of the medicine, and acquiring the associated information of the medicine from the constructed Chinese and western medicine interaction body; and judging the inter-drug reaction by using the constructed inference rule according to the associated information of the drugs, and early warning the inter-drug adverse reaction according to the judgment result. The method and the device can greatly improve the early warning efficiency of the adverse reactions among the medicines and improve the recall ratio and precision ratio of the adverse reactions among the medicines.
Description
Technical Field
The application belongs to the technical field of medical treatment, and particularly relates to an early warning method, an early warning device and an early warning system for adverse reaction between medicines.
Background
Drug Interaction (DI) refers to a compound effect produced by a patient taking two or more Drugs simultaneously or sequentially within a certain time, which can strengthen the drug effect or reduce side effects, and can also weaken the drug effect or cause undesirable toxic and side effects. The enhanced efficacy includes increased efficacy and toxicity, and the reduced efficacy includes decreased efficacy and toxicity. Therefore, when the drug combination is clinically used, the pharmacological actions of the drugs in the drug combination are fully exerted by taking the characteristics of the drugs into consideration, so that the best curative effect and the minimum adverse reaction of the drugs are achieved, and the drug safety is improved.
In order to provide patients with safe diagnosis and treatment and eliminate adverse reactions among medicines, the traditional method is based on the individual clinical experience of doctors or by manually searching literature data. The biggest defects of the traditional method are individual experience dependence and low efficiency, which are particularly shown in the following steps: 1) for young doctors with insufficient knowledge and clinical experience of the medicine, adverse reactions of patients are easily caused by medication negligence, and the result after healing cannot be expected. 2) If the traditional method is frequently needed to manually check the adverse drug reactions, the method is time-consuming, labor-consuming, extremely low in efficiency and difficult to meet daily requirements. 3) Even if the inquiry is carried out through a relevant database of the adverse drug reactions, the real-time problem still exists, if the condition of combining a plurality of drugs exists, the inquiry efficiency is not high, and the technical threshold of use exists, so that the actual requirement is difficult to meet.
Disclosure of Invention
In order to overcome the problems in the related technology at least to a certain extent, the application provides an early warning method, an early warning device and an early warning system for adverse reaction among medicines.
According to a first aspect of embodiments of the present application, there is provided a method for warning an inter-drug adverse reaction, comprising the steps of:
constructing a Chinese and western medicine interaction ontology, and storing the constructed Chinese and western medicine interaction ontology in an ontology knowledge base; the Chinese and western medicine interaction ontology comprises a semantic type, an instantiation entity and a semantic relation;
constructing an inference rule based on description logic; the reasoning rules are constructed based on corresponding interaction results in the interaction of the Chinese and western medicine types and the medicine components;
acquiring the name of the medicine, and acquiring the associated information of the medicine from the constructed Chinese and western medicine interaction body;
and judging the inter-drug reaction by using the constructed inference rule according to the associated information of the drugs, and early warning the inter-drug adverse reaction according to the judgment result.
In the method for early warning of the adverse reaction between the medicines, the specific process for constructing the interaction body of the Chinese and western medicines is as follows:
determining semantic types of a Chinese and western medicine interaction ontology, wherein the semantic types comprise medicine types and medicine components; the drug types comprise ATC drugs, chemical drugs and Chinese patent drugs; the medicinal components comprise chemical components, traditional Chinese medicinal materials, traditional Chinese medicine decoction pieces and traditional Chinese medicinal chemical components;
constructing corresponding instantiation entities according to semantic types of a Chinese and western medicine interaction body, wherein the instantiation entities are Chinese patent medicines, chemical medicines and Chinese medicine components;
constructing a semantic relation of a Chinese and western medicine interaction ontology; the semantic relationship comprises an intrinsic property and an extrinsic property of an instantiated entity; the internal attributes refer to attributes possessed by instantiated entities, and the external attributes refer to relationships between instantiated entities.
Further, the semantic relationships include antagonism of therapeutic effect, synergy of therapeutic effect, addition of toxic and side effects, attenuation of toxic and side effects, and having a certain composition.
Further, instantiation entities with semantic association belonging to different concepts in the Chinese and western medicine interaction ontology are associated with each other through the semantic relation and stored in the Chinese and western medicine interaction ontology in the form of resource description framework triple fact assertion.
In the method for early warning the adverse reaction among the medicines, the reasoning function based on the reasoning rule of the description logic comprises classification and compatibility, and the classification automatically classifies a concept system by judging whether one concept is a subclass of the other concept; the compatibility is realized by judging whether a concept is compatible with the existing concept or not so as to detect the consistency of the concept set.
In the method for early warning of adverse reactions among drugs, the specific process of judging the inter-drug reactions by using the constructed inference rule according to the associated information of the drugs is as follows:
matching inference rules in the rule base according to class axiom expression and fact assertion constructed by the Chinese and western medicine interaction ontology, and triggering one or more inference rules in the rule base if conditions are matched; if there are no logically inconsistent or contradictory concepts, new facts are exported that are inferred.
According to a second aspect of the embodiments of the present application, the present application further provides an inter-drug adverse reaction early warning device, which includes a body construction module, an inference rule construction module, a drug information acquisition module, and a judgment module;
the body construction module is used for constructing a Chinese and western medicine interaction body, and the Chinese and western medicine interaction body comprises a semantic type, an instantiation entity and a semantic relation;
the inference rule building module is used for building a corresponding inference rule according to the type of the Chinese and western medicine and the corresponding interaction result in the interaction of the medicine components;
the medicine information acquisition module is used for acquiring the related information of the medicine according to the medicine name, wherein the related information of the medicine comprises various components of the medicine, CAS number, Chinese alias or English alias and the relation between the medicine and other medicines;
the judgment module is used for judging the inter-drug reaction by utilizing the constructed inference rule according to the associated information of the drugs to obtain a judgment result and early warning the inter-drug adverse reaction according to the judgment result.
According to a third aspect of the embodiments of the present application, the present application further provides an inter-drug adverse reaction early warning system, which includes a terminal and a server, where the terminal is configured to display an inter-drug adverse reaction early warning page, receive a drug name input through a data input entry on the inter-drug adverse reaction early warning page, and further send the drug name to the server, so as to receive and display an output result of the server;
the server is used for acquiring the medicine name of the terminal, acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name, judging the inter-medicine reaction by using the inference rule, or acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name, and judging the medicine component which has the adverse reaction with the medicine and the medicine containing the medicine component by using the inference rule, or directly acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name.
In the inter-drug adverse reaction early warning system, the human-computer interaction interface on the terminal comprises a search word input box, a patient information acquisition area, a diagnosis suggestion and treatment scheme display area, a knowledge card display area and a graph display area; the knowledge card comprises early warning of drug conflict, prompting of drug component mutual reaction mechanism, action mechanism and explanation suggestion.
In the inter-drug adverse reaction early warning system, the components and relevant attributes of the drugs are inquired through the terminal by using the SPARQL inquiry statement, and the inquiry result is displayed at the terminal.
According to the above embodiments of the present application, at least the following advantages are obtained: this application can utilize the inference rule of establishing to carry out quick judgement to the reaction between the medicine according to the associated information of medicine through constructing the chinese and western medicine interact body and the inference rule based on description logic, and then carries out the early warning to adverse reaction between the medicine according to the judged result, and this application can greatly improve the early warning efficiency of adverse reaction between the medicine, improves the recall ratio and the precision ratio of adverse reaction between the medicine.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the scope of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification of the application, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of an inter-drug adverse reaction early warning method provided in the embodiment of the present application.
Fig. 2 is a schematic structural diagram of an inter-drug adverse reaction early warning device provided in the embodiment of the present application.
Description of reference numerals:
1. an ontology building module; 2. an inference rule construction module; 3. a medication information acquisition module; 4. and a judging module.
Detailed Description
For the purpose of promoting a clear understanding of the objects, aspects and advantages of the embodiments of the present application, reference will now be made to the accompanying drawings and detailed description, wherein like reference numerals refer to like elements throughout.
The illustrative embodiments and descriptions of the present application are provided to explain the present application and not to limit the present application. Additionally, the same or similar numbered elements/components used in the drawings and the embodiments are used to represent the same or similar parts.
As used herein, "first," "second," …, etc., are not specifically intended to mean in a sequential or chronological order, nor are they intended to limit the application, but merely to distinguish between elements or operations described in the same technical language.
As used herein, the terms "comprising," "including," "having," "containing," and the like are open-ended terms that mean including, but not limited to.
As used herein, "and/or" includes any and all combinations of the described items.
References to "plurality" herein include "two" and "more than two"; reference to "multiple sets" herein includes "two sets" and "more than two sets".
Certain words used to describe the present application are discussed below or elsewhere in this specification to provide additional guidance to those skilled in the art in describing the present application.
It should be noted that, in the field of information science, ONTOLOGY (ONTOLOGY) refers to "explicit specification of concept models" or "formalization" in a certain field, and refers to formal expression of concept sets and their inherent relationships and operation rules in a certain specified field for explicit and detailed specification of shared concept architecture. The ontology has four features of conceptualization, clarification, formalization and sharing. Wherein, conceptualization: models are created by abstracting the concepts associated with some phenomena in the guest world, the meaning of which is independent of the specific environmental state. Formalization: the body should be machine readable. The definition is as follows: the concepts used and the constraints imposed by these concepts are well defined. Sharing: the ontology is embodied by common knowledge in the field, reflecting a recognized set of concepts in the relevant field, which is directed to groups rather than individuals.
The ontology-based semantic technology is receiving more and more attention as the basis of a new generation of information processing technology, is widely applied in many fields such as the biomedical field, the information retrieval field, the traffic information management field and the like, and the advantages embodied by the ontology-based semantic technology are gradually accepted by the industry, so that important technical support is provided for intelligent analysis and decision support of an information system.
The main idea of the semantic web is to use a logical language as a description tool to characterize various information contents (i.e. their semantics). We refer to these information based on logical language descriptions as knowledge, and refer to this semantic web oriented information and knowledge processing technology collectively as textual semantic technology (semantic). The main characteristics of the semantic technology comprise: 1) and formalizing expression, wherein a certain formalized language is adopted to describe the network information resource. 2) Reasoning support: some logic reasoning tool is used to analyze the data and obtain the indirect content behind the data expression, and the process of obtaining the implied indirect content from the data is reasoning (reasoning).
The semantic technology adopts a semantic-based data expression language based on international unified standards, such as the expression modes of a Resource Description Framework (RDF) and a web ontology language (OWL), so that data is independent of a specific system. The method introduces a knowledge representation and reasoning based mode, so that the information system based on semantics can conveniently realize a plurality of function extensions based on knowledge analysis on the prior basis, greatly shortens the development period of a new system, and provides a plurality of information which can not be obtained through traditional data retrieval but can be obtained through knowledge reasoning.
Compared with the traditional information processing technology, the superiority of the semantic technology is mainly expressed in the following aspects: 1) data sharing, in which data in many existing fields have semantic data corresponding to the data, such as geographic semantic data sets (GeoNames), wikipedia data sets (DBPedia), and the like, can be conveniently merged into other semantic data, so that data sharing is realized to the greatest extent. 2) The knowledge expression is provided, and a semantic system can conveniently analyze, simulate and manage on a knowledge level by adopting a technology based on the knowledge expression and ontology expression thereof, so that the current boring work of a large amount of manual intervention is replaced. 3) And decision support is introduced, knowledge processing is introduced, the precision and efficiency of problem processing can be improved, knowledge management and reasoning are provided, and decision support is provided for a macro-understanding information system.
In the application of knowledge in the medical field, the research of ontologies and knowledge maps is endless. In recent years, the medical ontology is researched domestically, a cardiovascular disease knowledge base is established based on an ontology theory, on the basis, a domain knowledge ontology is modeled, the knowledge ontology is formally stored, and an auxiliary diagnosis system is developed. A resource concept is introduced, resources are data carriers comprising semantic information, a body model construction method taking the resources as a core is provided, and the body model of the method provides a basis for semantic information retrieval. The method is characterized in that a single disease is used as a carrier, a body is established to correspond to disease knowledge one by one, a traditional Chinese medicine knowledge base with an intelligent reasoning function is established, and a sharable and reusable auxiliary diagnosis decision knowledge base is established for a clinical medical expert system to provide reference.
Drug Interaction (DI) refers to a compound effect produced by a patient taking two or more Drugs simultaneously or sequentially within a certain time, which can strengthen the drug effect or reduce side effects, and can also weaken the drug effect or cause undesirable toxic and side effects. The enhanced efficacy includes increased efficacy and toxicity, and the reduced efficacy includes decreased efficacy and toxicity. Therefore, when the drug combination is clinically used, the pharmacological actions of the drugs in the drug combination are fully exerted by taking the characteristics of the drugs into consideration, so that the best curative effect and the minimum adverse reaction of the drugs are achieved, and the drug safety is improved.
Fig. 1 is a flowchart of an inter-drug adverse reaction early warning method provided in the embodiment of the present application.
As shown in fig. 1, the inter-drug adverse reaction early warning method provided by the present application includes the following steps:
s1, constructing a Chinese and western medicine interaction body, and storing the constructed Chinese and western medicine interaction body in a body knowledge base, wherein the body knowledge base specifically comprises the following components:
s11, determining semantic types of the Chinese and western medicine interaction ontology, wherein the semantic types comprise medicine types and medicine components.
The types of drugs include ATC drugs, chemical drugs and Chinese patent drugs. The medicinal components comprise chemical components, traditional Chinese medicinal materials, traditional Chinese medicine decoction pieces and traditional Chinese medicine chemical components.
And S12, constructing a corresponding instantiation entity according to the semantic type of the Chinese and western medicine interaction ontology. The constructed instantiation entities can be Chinese patent medicines, chemical medicines, Chinese medicine components and the like.
S13, constructing the semantic relation of the Chinese and western medicine interaction ontology. Wherein the semantic relationship includes intrinsic and extrinsic properties of the instantiated entity.
Intrinsic attributes refer to attributes that an instantiated entity possesses, typically some value, such as usage, amount, and degree of recommendation for a drug. The self attribute of an instantiated entity of a certain type can also be described by the data type attribute. For example, a CAS number, a Chinese alias, or an English alias of a drug.
External attributes refer to relationships between instantiated entities. Specifically, in the body of interaction between Chinese and western medicines, the following 5 semantic relationships are mainly included:
antagonism of curative effect, synergy of curative effect, addition of toxic and side effects, weakening of toxic and side effects and having a certain component.
Through the 5 semantic relations, the instantiation entities with semantic relation belonging to different concepts in the ontology are correlated with each other, and are stored in the ontology in the form of RDF (Resource Description Framework) triple fact assertion.
It should be noted that the construction of the interaction body of the Chinese and western medicines is to extract the medicine interaction information from authoritative medical materials such as Chinese and western medicine interaction, Chinese and western medicine interaction and incompatibility, Chinese patent medicine and western medicine interaction, medicine interaction database of medicine intelligent network and medicine reference database of medicine for general use; and carrying out manual examination and correction on the extracted drug interaction information by adopting a manual examination mode, and then forming a structured ontology knowledge base.
S2, constructing an inference rule based on description logic, wherein the specific process is as follows:
description logic is not simply a conceptual representation language, but it also supports a knowledge base that represents domain knowledge.
The reasoning functions that describe the logic focus mainly on two aspects: classification (Subscription) and compatibility (Satisability), which mainly judges whether one concept is a subclass of another concept, for example, judges whether a Chinese medicinal decoction piece is a medicament, and is mainly used for automatically classifying a concept system; the compatibility is mainly to judge whether a concept is compatible with the existing concept, and is mainly used for detecting the consistency of the concept set.
In consideration of some specific regulations on the interaction of the traditional Chinese medicine and western medicine, regular modeling needs to be carried out on the interaction of the traditional Chinese medicine and western medicine based on certain medicine components, and the required (recommended medication reminding) standard operation specification is ensured to be met.
In the Chinese and western medicine interaction body, corresponding inference rules are constructed aiming at corresponding interaction results in the interaction of Chinese and western medicine types and medicine components; and the action mechanism and the description of the medicine are explained so as to realize the inquiry of the corresponding contents such as recommended medication reminding, medicine component inquiry, medicine interaction, action mechanism and the like.
And storing the constructed inference Rule in an established SWRL (Semantic Web Rule Language) Rule base.
For example, the inference rule constructed may be:
chinese _ Patent _ Medicine (.
The inference rule shows that the Chinese patent medicine containing hawthorn and ATC classification containing tetracycline and derivatives thereof can generate mutual antagonism and should be carefully combined.
S3, acquiring the name of the medicine, and acquiring the related information of the medicine from the Chinese and western medicine interaction ontology constructed in the step S1.
And S4, judging the inter-drug reaction by using the inference rule constructed in the step S2 according to the associated information of the drugs, and early warning the inter-drug adverse reaction according to the judgment result.
Matching inference rules in the rule base according to class axiom expression and fact assertion constructed by the Chinese and western medicine interaction ontology, and triggering one or more inference rules in the rule base if conditions are matched; if there are no logically inconsistent or contradictory concepts, new facts are exported that are inferred.
The inter-drug adverse reaction early warning method provided by the application further comprises the following steps:
and S5, displaying the judgment result.
The inter-drug adverse reaction early warning method provided by the application can be convenient for medical staff to quickly obtain the result of whether multiple drugs can be combined or not or whether adverse reactions exist.
Fig. 2 is a schematic structural diagram of an inter-drug adverse reaction early warning device provided in the embodiment of the present application.
In one embodiment, as shown in fig. 2, the present application further provides an inter-drug adverse reaction early warning device, which includes a body construction module 1, an inference rule construction module 2, a drug information acquisition module 3, and a judgment module 4.
The ontology construction module 1 is used for constructing a Chinese and western medicine interaction ontology, and the Chinese and western medicine interaction ontology comprises a semantic type, an instantiation entity and a semantic relation. The semantic types include drug types and drug components. The types of drugs include ATC drugs, chemical drugs and Chinese patent drugs. The medicinal components comprise chemical components, traditional Chinese medicinal materials, traditional Chinese medicine decoction pieces and traditional Chinese medicine chemical components. Semantic relationships include intrinsic and extrinsic properties of instantiated entities.
The inference rule building module 2 is used for building a corresponding inference rule according to the type of the Chinese and western medicine and the corresponding interaction result in the interaction of the medicine components.
The medicine information acquiring module 3 is used for acquiring the related information of the medicine according to the medicine name, wherein the related information of the medicine comprises various components of the medicine, CAS number, Chinese alias or English alias and the relationship between the medicine and other medicines.
The judgment module 4 is used for judging the inter-drug reaction by using the constructed inference rule according to the associated information of the drugs to obtain a judgment result, and early warning the inter-drug adverse reaction according to the judgment result.
The inter-drug adverse reaction early warning device further comprises a display module, and the display module is used for displaying the judgment result.
Based on the inter-drug adverse reaction early warning method provided by the application, the application also provides an inter-drug adverse reaction early warning system which comprises a server and a terminal, wherein the server can be an independent server or a server cluster consisting of a plurality of servers, and the terminal can be but is not limited to various personal computers, notebook computers, smart phones and tablet computers with display screens.
The terminal is used for displaying the inter-drug adverse reaction early warning page, receiving the drug name input through the data input inlet on the inter-drug adverse reaction early warning page, and further sending the drug name to the server so as to receive and display the output result of the server. The output result can be the medicine component inquired by the server according to the medicine name, or the medicine component which is inquired by the server according to the medicine name and has adverse reaction with the medicine and the medicine containing the medicine component.
The server is used for acquiring the medicine name of the terminal, acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name, judging the inter-medicine reaction by using the inference rule, or acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name, and judging the medicine component which has adverse reaction with the medicine and the medicine containing the medicine component by using the inference rule, or directly acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name.
Specifically, the human-computer interaction interface on the terminal comprises a search word input box, a patient information acquisition area, a diagnosis suggestion and treatment scheme display area, a knowledge card display area and a graph display area. The knowledge card comprises medicine conflict early warning, medicine component mutual reaction mechanism prompt, action mechanism, explanation suggestion and the like.
The inter-drug adverse reaction early warning system stores the name, components, dosage, usage and other information of the drug prescribed by a doctor in clinical diagnosis, determines the contents of the drug such as the name, the synonym, the components and the like, matches the contents with the drug items recorded in the ontology knowledge base, and then carries out standardized processing.
The inter-drug adverse reaction early warning system retrieves and compares input information in the ontology knowledge base, and obtains warning prompts and related suggestions for whether inter-drug conflicts exist, so that conflict components and content explanations of the drugs are determined.
The inter-drug adverse reaction early warning system provided by the application can also be used for inquiring the components and relevant attributes of the drugs. For example, the following SPARQL query statement can be used to query which drug components of the stomach-invigorating tablet are, and the query result is displayed at the terminal.
PREFIX:<http://DrugsInterreaction.owl#>
PREFIX rdf:<http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX owl:<http://www.w3.org/2002/07/owl#>
PREFIX rdfs:<http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd:<http://www.w3.org/2001/XMLSchema#>
SELECTobject
WHERE {: stomach invigorating tablet-hasComponentobject }
In the inter-drug adverse reaction early warning system, the server can acquire the associated information of the drugs by acquiring the drug names of the terminals, and then judge the inter-drug reaction by using the inference rule, so as to acquire the output result of the inter-drug adverse reaction and send the output result to the terminals for display. By adopting the scheme, the efficiency for judging the adverse reaction among the medicines can be improved, and the recall ratio and precision ratio of the adverse reaction among the medicines can also be improved.
The inter-drug adverse reaction early warning system has basic functions of data query, navigation and view display. The method supports rule-based knowledge reasoning and customized business support, can meet the requirements of data management and analysis of users in clinical practice and scientific research process of Chinese and western medicine conflict component detection, and ensures the integrity and confidentiality of data in the processes of acquisition, transmission and storage.
In an exemplary embodiment, the present application further provides a computer storage medium, which is a computer readable storage medium, for example, a memory including a computer program, which is executable by a processor to perform the inter-drug adverse reaction pre-warning method in any embodiment of the present application.
The embodiments of the present application described above may be implemented in various hardware, software code, or a combination of both. For example, embodiments of the present application may also represent program code for performing the above-described methods in a data signal processor. The present application may also relate to various functions performed by a computer processor, digital signal processor, microprocessor, or field programmable gate array. The processor described above may be configured in accordance with the present application to perform certain tasks by executing machine-readable software code or firmware code that defines certain methods disclosed herein. Software code or firmware code may be developed to represent different programming languages and different formats or forms. Different target platforms may also be represented to compile the software code. However, different code styles, types, and languages of software code and other types of configuration code for performing tasks according to the present application do not depart from the spirit and scope of the present application.
The foregoing is merely an illustrative embodiment of the present application, and any equivalent changes and modifications made by those skilled in the art without departing from the spirit and principles of the present application shall fall within the protection scope of the present application.
Claims (10)
1. An inter-drug adverse reaction early warning method is characterized by comprising the following steps:
constructing a Chinese and western medicine interaction ontology, and storing the constructed Chinese and western medicine interaction ontology in an ontology knowledge base; the Chinese and western medicine interaction ontology comprises a semantic type, an instantiation entity and a semantic relation;
constructing an inference rule based on description logic; the reasoning rules are constructed based on corresponding interaction results in the interaction of the Chinese and western medicine types and the medicine components;
acquiring the name of the medicine, and acquiring the associated information of the medicine from the constructed Chinese and western medicine interaction body;
and judging the inter-drug reaction by using the constructed inference rule according to the associated information of the drugs, and early warning the inter-drug adverse reaction according to the judgment result.
2. The method for early warning of adverse reactions between drugs according to claim 1, wherein the specific process for constructing the body of interaction between Chinese and western drugs comprises:
determining semantic types of a Chinese and western medicine interaction ontology, wherein the semantic types comprise medicine types and medicine components; the drug types comprise ATC drugs, chemical drugs and Chinese patent drugs; the medicinal components comprise chemical components, traditional Chinese medicinal materials, traditional Chinese medicine decoction pieces and traditional Chinese medicinal chemical components;
constructing corresponding instantiation entities according to semantic types of a Chinese and western medicine interaction body, wherein the instantiation entities are Chinese patent medicines, chemical medicines and Chinese medicine components;
constructing a semantic relation of a Chinese and western medicine interaction ontology; the semantic relationship comprises an intrinsic property and an extrinsic property of an instantiated entity; the internal attributes refer to attributes possessed by instantiated entities, and the external attributes refer to relationships between instantiated entities.
3. The method of claim 2, wherein the semantic relationships include antagonism of therapeutic effect, synergy of therapeutic effect, additive toxic side effects, reduced toxic side effects, and having a certain component.
4. The method for early warning of adverse reaction between drugs according to claim 2, wherein instantiated entities with semantic association under different concepts in the Chinese-western drug interaction ontology are associated with each other through the semantic relationship and stored in the Chinese-western drug interaction ontology in a form of resource description framework triple fact assertion.
5. The method of claim 1, wherein the reasoning function based on the reasoning rules describing logic includes classification and compatibility, and the classification is performed by judging whether one concept is a subclass of another concept to automatically classify a concept system; the compatibility is realized by judging whether a concept is compatible with the existing concept or not so as to detect the consistency of the concept set.
6. The method for pre-warning the inter-drug adverse reaction according to claim 1, wherein the specific process of judging the inter-drug reaction by using the constructed inference rule according to the associated information of the drugs comprises:
matching inference rules in the rule base according to class axiom expression and fact assertion constructed by the Chinese and western medicine interaction ontology, and triggering one or more inference rules in the rule base if conditions are matched; if there are no logically inconsistent or contradictory concepts, new facts are exported that are inferred.
7. An adverse reaction early warning device among medicines is characterized by comprising a body construction module, an inference rule construction module, a medicine information acquisition module and a judgment module;
the body construction module is used for constructing a Chinese and western medicine interaction body, and the Chinese and western medicine interaction body comprises a semantic type, an instantiation entity and a semantic relation;
the inference rule building module is used for building a corresponding inference rule according to the type of the Chinese and western medicine and the corresponding interaction result in the interaction of the medicine components;
the medicine information acquisition module is used for acquiring the related information of the medicine according to the medicine name, wherein the related information of the medicine comprises various components of the medicine, CAS number, Chinese alias or English alias and the relation between the medicine and other medicines;
the judgment module is used for judging the inter-drug reaction by utilizing the constructed inference rule according to the associated information of the drugs to obtain a judgment result and early warning the inter-drug adverse reaction according to the judgment result.
8. The adverse reaction early warning system between medicines is characterized by comprising a terminal and a server, wherein the terminal is used for displaying an adverse reaction early warning page between medicines, receiving a medicine name input through a data input inlet on the adverse reaction early warning page between medicines, and further sending the medicine name to the server so as to receive and display an output result of the server;
the server is used for acquiring the medicine name of the terminal, acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name, judging the inter-medicine reaction by using the inference rule, or acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name, and judging the medicine component which has the adverse reaction with the medicine and the medicine containing the medicine component by using the inference rule, or directly acquiring the associated information of the medicine from the Chinese and Western medicine interaction body according to the medicine name.
9. The system of claim 8, wherein the human-computer interface on the terminal comprises a search term input box, a patient information acquisition area, a diagnosis suggestion and treatment scheme display area, a knowledge card display area and a graphic display area; the knowledge card comprises early warning of drug conflict, prompting of drug component mutual reaction mechanism, action mechanism and explanation suggestion.
10. The system of claim 8, wherein the components and their related attributes of the drug are queried by the terminal using a SPARQL query statement, and the query result is displayed at the terminal.
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