CN102043813A - Medical information treatment server and medical information treatment method - Google Patents

Abstract

The invention provides a medical information treatment server which comprises: a case information obtaining module used for gathering case information provided by users with account authentication to a first information base, a common information obtaining module used for gathering medical reference information submitted by users with account authentication on a common information platform to a second information base, and a grading classification module used for grading and classifying information of the first information base and/or the second information base. The invention can guarantee reliability and authenticity of information acquisition and furthermore can guarantee validity of information retrieval.

Description

The method that medical information processing server and medical information are handled

Technical field

The present invention relates to technical field of information storage, particularly relate to the method that a kind of medical information processing server and a kind of medical information are handled.

Background technology

Along with popularizing and the high speed development of infotech of the Internet, among the vast sea of information, search and utilize information more accurately in order to satisfy the user, the technology of various information processings is arisen at the historic moment, and wherein, information retrieval technique has become the main direction of studying of the information processing technology.

In broad terms, information retrieval is meant the primary information of just collecting, organize and store formation secondary information storehouse by certain mode, and find out the technology and the process of customizing messages according to information user's needs, so its full name is informationm storage and retrieval (Information Storage andRetrieval).Be understandable that information retrieval is to carry out at the secondary information storehouse of having stored, is the inverse process of information stores.For retrieval fast and effeciently, just must carry out information stores in advance.Do not have information stores, retrieval is not just known where to begin.

Generally speaking, information stores relates to following operating process:

One, the collection of information:, information resources extensive and that disperse are gathered according to the content and the character requirement of database or gopher.

Two, recording of information: barment tag (as autograph, author, document source etc.) and content characteristic (as classification number, descriptor, summary etc.) to the raw information collected are described, and form the process of a rule an article or item in a contract or record.

Three, the index of information: according to certain rules and procedures, literature content is analyzed, given the content identification of every piece of document with some (classification number, descriptor, keyword etc.) then, as the foundation of storage and retrieval.

Four, the whole preface of information: the unordered information that will collect is carried out the process of ordering tissue, and formation can be directly used in the gopher or the computing machine of manual information retrieval.

With the search server that search engine was adopted is example, its canned data is to rely on a software that is " network robot (Spider) " or is " Web Spider (crawlers) ", automatically obtain a large amount of info web contents by the various links on the network, and form by certain rule analysis arrangement.

Yet the purpose of carrying out information acquisition in the prior art mainly is obtaining of mass data, promptly all collects according to the Search Requirement information that all are relevant as far as possible, and the information of being gathered often also has a lot of deceptive information and insecure information.Particularly for medical information,, just might cause irremediable injury to user's health and physical and mental health if there is the relevant information of too much falseness or insecure medical field.

Therefore, the data volume along with the network information sharply increases reliability and authenticity that how guarantee information is gathered, and then the validity of guarantee information retrieval.It is the problem that those skilled in the art press for solution.

Summary of the invention

Technical matters to be solved by this invention provides the method for a kind of medical information processing server and the processing of a kind of medical information, with the reliability and the authenticity of guarantee information collection, and then the validity of guarantee information retrieval.

In order to address the above problem, the invention discloses a kind of medical information processing server, comprising:

The case information acquisition module is used to include the case information that the user provided by account certification to first information storehouse;

The public information acquisition module is used to include medical treatment reference information to the second information bank that the user by account certification submits at public information platform;

The classify and grading processing module is used for information classification, classification processing are carried out in the described first information storehouse and/or second information bank.

Preferably, described user comprises the user who has user end apparatus, and described server also comprises:

The physiological data information bank is used to store the physiological data of gathering from user end apparatus, and, according to the health records information of described physiological data generation.

Preferably, described server also comprises:

Family disease information storehouse is used to store described family's disease information that the user provided by account certification.

Preferably, described classify and grading processing module comprises:

The classification processing sub is used for according to classification of diseases standard, illness position and/or the symptom information corresponding classification of information distribution to the described first information storehouse and/or second information bank.

Preferably, described classify and grading processing module also comprises:

The classification processing sub, be used for the information truth degree being carried out object information after the verification according to described health records information, and/or the user is at the good and bad feedback information of described information, respectively to the corresponding rank of information distribution in the described first information storehouse and/or second information bank.

Preferably, described server also comprises:

Keyword sample storehouse generation module is used for generating keyword sample storehouse according to described classification information.

Preferably, described case information obtains from certified hospital database, and described medical treatment reference information obtains from certified scientific research paper database and/or open network data base.

Preferably, described case information comprises individual privacy information, and described server also comprises:

The shielding processing module is used at the described case information of storage the individual privacy information in the described case information being carried out shielding processing to the first information storehouse.

The embodiment of the invention also discloses the method that a kind of medical information is handled, comprising:

The account information of authenticated, if authentication is passed through, then carry out following steps:

Include case information that this user provides to first information storehouse; And, include medical treatment reference information to the second information bank that this user submits at public information platform;

Information classification, classification processing are carried out in the described first information storehouse and/or second information bank.

Preferably, describedly first information storehouse and/or second information bank carried out the step that information classification, classification handle comprise:

According to classification of diseases standard, illness position and/or symptom information to the corresponding classification of information distribution in the described first information storehouse and/or second information bank.

Preferably, described user comprises the user who has user end apparatus, and described method also comprises:

The physiological data that storage is gathered from user end apparatus, and, according to the health records information of described physiological data generation;

Describedly first information storehouse and/or second information bank carried out the step that information classification, classification handle also comprise:

According to described health records information the information truth degree is carried out object information after the verification, and/or the user is at the good and bad feedback information of described information, respectively to the corresponding rank of information distribution in the described first information storehouse and/or second information bank.

Compared with prior art, the present invention has the following advantages:

The present invention only includes at the user by account certification and submits information to, and the organization and administration that collected information is classified and classified by validity, thus the authenticity of guarantee information and reliability.

Description of drawings

Fig. 1 is the structured flowchart of a kind of medical information processing server embodiment 1 of the present invention;

Fig. 2 is the structured flowchart of a kind of medical information processing server embodiment 2 of the present invention;

Fig. 3 is the data structure synoptic diagram of preferred embodiment shown in Figure 2;

Fig. 4 is the process flow diagram of a kind of medical information processing method embodiment of the present invention.

Embodiment

For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.

The embodiment of the invention relates generally to the technology of information stores in the generalized information retrieval, at the requirement of present people to medical information authenticity and reliability, a kind of like this core idea is proposed, promptly only include and submit information at user by account certification, and collected information classified and carry out the organization and administration of classification by validity, thereby the authenticity of guarantee information and reliability.

With reference to figure 1, show the structured flowchart of a kind of medical information processing server embodiment 1 of the present invention, specifically can comprise:

Case information acquisition module 101 is used to include the case information that the user provided by account certification to first information storehouse;

Public information acquisition module 102 is used to include medical treatment reference information to the second information bank that the user by account certification submits at public information platform;

Classify and grading processing module 103 is used for information classification, classification processing are carried out in the described first information storehouse and/or second information bank.

Be well known that user's account is equivalent to user's digital identity, so-called " account certification " promptly refers to confirm whether corresponding process of user's physical identity and digital identity, and usually, account certification generally has two kinds of methods:

A kind of is static authentication method, the character string that this method is set by the user is protected the account of expression user identity, system discerns, confirms user's identity by the character string of checking user input, for example account password, security password and the key etc. that use in daily life of people;

Another kind is a dynamic confirming method, and this method generally includes two types: a kind of is for static state authentication, and each authentication uses the content of dynamic change to confirm user identity, as " security code " of random variation etc.Another kind of dynamic authentication is to need the user to use existing receiving terminal or buy specific terminal device, relies on the algorithm or the communication modes of terminal and service end agreement, obtains the current correct password of account, thereby relies on dynamic password to confirm user's identity.For example, general mobile phone password protection on the internet at present is exactly by setting up the binding relationship between user mobile phone number and user account, when needs are confirmed identity, the service provider issues the password of generation at random to user mobile phone, by random cipher identification user's identity.

Certainly, the method for above-mentioned user account authentication is only as example, any employing of those skilled in the art all can, the present invention need not this to be limited.

Preferably, described case information can comprise certain user's illness data, therapeutic scheme and rehabilitation trace information etc., in specific implementation, described case information can obtain from certified hospital database, and described medical treatment reference information obtains from the network field open sources such as network data base of certified scientific research paper database and/or opening, be understandable that, in embodiments of the present invention, the first information storehouse of storage case information forms one " case library ", second information bank forms one " public information storehouse ", because its information source is through authentication in many ways, so can effectively guarantee its authenticity and reliability.

Need to prove; because medical information processing server of the present invention can be when the user provides more high-performance ground to use and serves (as information retrieval); in order to protect user's individual privacy to the greatest extent; when the case information that the user provided has individual privacy information; after can also carrying out shielding processing to the individual privacy information in the described case information earlier, be stored to again in the first information storehouse.As shield name, contact method, contact address of user etc.The mode of described shielding processing can adopt any mode of the prior art, and as delete character, be converted to special character etc., the present invention does not limit this.

In a preferred embodiment of the present invention, described classify and grading processing module may further include following submodule:

The classification processing sub is used for according to classification of diseases standard, illness position and/or the symptom information corresponding classification of information distribution to the described first information storehouse and/or second information bank.

Wherein, described classification of diseases standard is meant international classification of diseases IC standard D-10; The illness position can corresponding each organ of human body the position, as heart, stomach, kidney, eyes, nose etc.; Symptom information can comprise single symptom information, as pain, and discomfort, chilly etc.; Can further include sign information, as heart noise, elevation of blood pressure, reflectance anomaly etc.

Particularly, described classification information can adopt the information classification algorithm to obtain, and generally speaking, the principle of information classification algorithm is under given taxonomic hierarchies, automatically determines the classification of text association according to the content of text.From the mathematics angle, text classification is the process of a mapping, it will not indicate that the text of classification is mapped in the existing classification, this mapping can be to shine upon one by one, also can be the mapping of one-to-many, thereby, in embodiments of the present invention, classification setting at information in the described first information storehouse and/or second information bank is not limited in single classification, and the information of one-level classification, secondary classification, three grades of a plurality of classifications such as classification can also be set.For example, it is heart that corresponding certain bar case information is provided with the one-level classification, and the secondary classification is an angina, and three grades of classifications are coronary heart disease.

Below simply introduce several information classification algorithms:

1) vector distance classification:

The classification thinking of this method is to be that every class text collection generates a center vector of representing such according to arithmetic mean, come then at new text then, determine new text vector, calculate the distance (similarity) between this vector and every class center vector, judge that at last text belongs to the class nearest with text, the formula that it calculates the similarity between the every class center vector of new text feature vector sum is:

$\mathrm{Sim}(d_i,d_j)=\frac{\underset{k=1}{\overset{M}{\mathrm{\Σ}}}{W}_{\mathrm{ik}}\×W_{\mathrm{jk}}}{\sqrt{\left(\underset{k=1}{\overset{M}{\mathrm{\Σ}}}{W}_{\mathrm{ik}}^2\right)\left(\underset{k=1}{\overset{M}{\mathrm{\Σ}}}{W}_{\mathrm{jk}}^2\right)}}$

Wherein, di is the proper vector of new text, and dj is the center vector of j class, and M is the dimension of proper vector, and Wk is the K dimension of vector.

2) bayesian algorithm (Bayes):

The basic ideas of this algorithm are to calculate the probability that text belongs to classification, and the probability that text belongs to classification equals the comprehensive expression formula that each speech in the text belongs to the probability of classification, and the specific algorithm step is as follows:

Step 1: the calculated characteristics speech belongs to the probability vector of each classification, (w1, w2, w3......wn), wherein:

Step 2: when new text arrives, according to feature speech participle, calculate the probability that text di belongs to class Ci by following formula then:

$P\left(C_i\right|d_i;\widehat{\mathrm{\θ}})=\frac{P\left(C_j\right|\widehat{\mathrm{\θ}}){\mathrm{\Π}}_{k=1}^{n}P{\left(W_k\right|C_j;\widehat{\mathrm{\θ}})}^{N(W_k,d_j)}}{{\mathrm{\Σ}}_{i=1}^{\left|C\right|}P\left(C_i\right|\widehat{\mathrm{\θ}}){\mathrm{\Π}}_{k=1}^{n}P{\left(W_k\right|C_i;\widehat{\mathrm{\θ}})}^{N(W_k,d_i)}}$

Wherein, P (Cj| θ)=Cj training number of files/always train number of files, P (Cr| θ) is similar implication, | C| is the sum of class, and (Wk di) is the word frequency of Wk in di to N, and n is a feature speech sum.

Step 3: newer text belongs to the probability of all classes, text is assigned in that classification of probability maximum.

3) KNN (K nearest-neighbors) algorithm,

The basic ideas of this algorithm are: behind given new text, consider K piece of writing text concentrated at training text and this new text nearest (the most similar), according to the classification under the new text of kind judging under this K piece of writing text, concrete algorithm steps is as follows:

Step 1: the training text vector is redescribed in set according to characteristic item;

Step 2: after new text arrives, according to the new text of feature speech participle, determine the vector representation of new text;

Step 3: concentrate at training text and select and new K the most similar text of text, computing formula is:

$\mathrm{Sim}(d_i,d_j)=\frac{\underset{k=1}{\overset{M}{\mathrm{\Σ}}}{W}_{\mathrm{ik}}\×W_{\mathrm{jk}}}{\sqrt{\left(\underset{k=1}{\overset{M}{\mathrm{\Σ}}}{W}_{\mathrm{ik}}^2\right)\left(\underset{k=1}{\overset{M}{\mathrm{\Σ}}}{W}_{\mathrm{jk}}^2\right)}}$

Wherein, the K value determine there is not good method at present, the general employing decided an initial value earlier, the result according to experiment test adjusts K value then, general initial value is decided to be hundreds of and arrives between several thousand.

Step 4: in K neighbours of new text, calculate the weight of every class successively, computing formula is as follows:

$p(x,C_j)=\underset{d_i=\mathrm{KNN}}{\mathrm{\Σ}}\mathrm{Sim}(x,d_i)y(d_i,C_j)$

Wherein, x is the proper vector of new text, Sim (x, d _i) be calculating formula of similarity, the computing formula rapid with previous step is identical, and y (d _i, C _j) be the category attribute function, that is, if d _iBelong to class C _j, functional value is 1 so, otherwise is 0.

Step 5: the weight of comparing class, text is assigned in that classification of weight maximum.

In another preferred embodiment of the present invention, described classify and grading processing module can also comprise the classification processing sub, be used for authentication information according to the information truth degree, and/or, the user is at the good and bad feedback information of described information, respectively to the corresponding rank of information distribution in the described first information storehouse and/or second information bank.

Wherein, the rank of described information is meant the rank of reflection information quality quality, perhaps can be understood as the embodiment of effectiveness of information height.When original definition, can whether come to determine respectively according to data source through authentication, for example,, certain bar information provides if being authenticated account, and be again from the database of certain tame certified front three hospital, to obtain, then can give higher level to it; And certain bar information is never to obtain in the certified hospital database, then gives lower grade to it; Certainly, can corresponding concrete condition relative set for its Rule of judgment and threshold range, the present invention does not limit this.

Need to prove, consider that the grade of initial setting up is difficult to objectively respond its actual validity, the present invention also creatively proposes the quality feedback at described information according to the user, the rank of corresponding adjustment information.Promptly, provide the user evaluation to result for retrieval as in the application of information retrieval, if more at the favorable comment of certain bar information, the then corresponding rank of heightening this information; Otherwise, the then corresponding rank of turning down this information.

Certainly, the processing of above-mentioned classify and grading only provides some examples, and those skilled in the art adopt correlation method to get final product according to actual conditions, or further to carry out operations such as database screening, ordering all be feasible, and the present invention need not this to be limited.

As another embodiment, in the concrete application of information retrieval,, related keyword, the embodiment of the invention can also comprise following keyword sample storehouse generation module for ease of being provided to the user, be used for generating keyword sample storehouse according to described classification information.

With reference to figure 2, show the structured flowchart of a kind of medical information processing server embodiment 2 of the present invention, described medical information processing server 21 specifically can comprise:

Case information acquisition module 201 is used to include the case information that the user provided by account certification to first information storehouse;

Public information acquisition module 202 is used to include medical treatment reference information to the second information bank that the user by account certification submits at public information platform;

Classify and grading processing module 203 is used for information classification, classification processing are carried out in the described first information storehouse and/or second information bank.

In the present embodiment, described user comprises the user who has user end apparatus, and described server also comprises physiological data information bank 204, is used to store the physiological data of gathering from user end apparatus, and, according to the health records information of described physiological data generation.

And family disease information storehouse 205 is used to store described family's disease information that the user provided by account certification.

Wherein, described user end apparatus can be worn on human bodies such as user's wrist, arm, neck, waist or shank for one, to gather the portable set of physiological data, the physiological data of being gathered can comprise: one or multinomial data combination in body temperature, blood pressure, pulse, cardiogram, oxygen concentration, vital capacity, blood sugar and the respiratory rate.

For example, this user end apparatus can comprise infrared thermometer monitoring temperature data.The principle of infrared thermometer thermometric is that the infrared energy that human body is launched is transformed into electric signal, because the size of infrared energy is associated with the temperature of human body itself, according to the electric signal size that is transformed into, just can determine body temperature.According to this principle, by measuring the surface temperature of human body forehead, the temperature difference of revising forehead and actual body temperature just can show body temperature accurately.During use, the detection window of user end apparatus user's forehead position need only be aimed at, just human body temperature can be recorded fast, conveniently, accurately.

This user end apparatus can also comprise that electronic sphygmomanometer detects blood pressure data.In this case, that the wearing mode of this user end apparatus can adopt is arm-type, wrist formula or finger-type, for arm-type device, then directly records the blood pressure of body surface trunk; For wrist formula and finger-type device, then at first measure the blood pressure of the terminal little blood vessel of human body, and then, draw the blood pressure of trunk by converting.

This user end apparatus can also utilize analog channel to gather the vibration-sensing signal at wrist and finish counting, to carry out the measurement of pulse; Utilize analog channel continuous acquisition electrocardio transducing signal to finish Electrocardiographic collection; The collection of other physiological data all can utilize modern biosensor technique.Concentrate on one by acquisition function with multiple human body physiological datas such as body temperature, blood pressure, pulse, cardiogram, heart magnetic, oxygen concentration, vital capacity, blood sugar and respiratory rates, have integrated, image data is diversified, wear the performance of portability.

In the present embodiment, described classify and grading processing module can comprise following submodule:

The classification processing sub is used for according to classification of diseases standard, illness position and/or the symptom information corresponding classification of information distribution to the described first information storehouse and/or second information bank;

The classification processing sub, be used for the information truth degree being carried out object information after the verification according to described health records information, and/or the user is at the good and bad feedback information of described information, respectively to the corresponding rank of information distribution in the described first information storehouse and/or second information bank.

Because user health information has " purpose " guided bone, the user is because its demand to the concern of certain class health and fitness information, so the user's who is obtained in the present embodiment health records can be used as the true and false and a good and bad important basis for estimation of case information and public information, for example, if there are a user's health records to show that it once had a heart disease in case library or the public information storehouse, but do not shown and suffered from stomach trouble, more more reliable from the relevant heart disease information of this user's collection so than stomach trouble information, so can be to this user's heart disease relevant information corresponding distribution higher level, the corresponding distribution of stomach trouble relevant information is than low level.

Below in conjunction with data structure synoptic diagram shown in Figure 3 present embodiment is described.

In the present embodiment, authenticity and reliability for guarantee information, the data of being included all are by user's 31 associations by account certification, this user is the user who has user end apparatus, user end apparatus can be gathered physiological data 32 with transmission user by wired or wireless mode, user end apparatus or other server platform can generate health records information 33, these physiological datas and health records information and user's account information 31 direct correlation according to these data; Put into case library 35 by the case information 34 that the authenticated account of user provides through the individual privacy deletion action; In practice, described physiological data 32 and health records information 33 can also be used for revising or adjusting the relevant information of described case library.

Described account information is also related with family's disease information 36 that this user provides; User by account certification also can submit/obtain the related medical reference information at public information exchange platform 39 by open network data base 37 and/or scientific research paper database 38 etc., stores these information and forms public information storehouse 40; Described case library 35 and public information storehouse 40 are carried out classify and grading or the processing of other data base organization, promptly obtain last medical information data storehouse 41.

As can be seen, the present invention not only can guarantee the authenticity and the reliability of collected information, because the optimization data structure that effective association of above-mentioned each data element and combination are obtained helps improving the storage efficiency of data, and then can improve the ability of data retrieval and index.

With reference to figure 4, show the process flow diagram of the method embodiment of a kind of medical information processing of the present invention, specifically can may further comprise the steps:

The account information of step 401, authenticated, if authentication is passed through, then carry out following steps:

Step 402a, include case information that this user provides to first information storehouse;

Step 402b, include medical treatment reference information to the second information bank that this user submits at public information platform;

Step 403, to described first information storehouse and/or second information bank carry out information classification, classification is handled.

In a preferred embodiment of the present invention, can carry out information classification, classification processing to described to the first information storehouse and/or second information bank by following substep:

Substep Z1, according to classification of diseases standard, illness position and/or symptom information to the corresponding classification of information distribution in the described first information storehouse and/or second information bank;

And,

Substep Z2, the information truth degree is carried out object information after the verification, and/or the user is at the good and bad feedback information of described information, respectively to the corresponding rank of information distribution in the described first information storehouse and/or second information bank according to described health records information.

For further protecting user's individual privacy, the embodiment of the invention can also may further comprise the steps:

To the first information storehouse, the individual privacy information in the described case information is carried out shielding processing at the described case information of storage.

In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, do not have the part that describes in detail among certain embodiment, can be referring to the associated description of other embodiment.For method embodiment, because it is similar substantially to system embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of system embodiment.

The present invention can describe in the general context of the computer executable instructions of being carried out by computing machine, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract, program, object, assembly, data structure or the like.Also can in distributed computing environment, put into practice the present invention, in these distributed computing environment, by by communication network connected teleprocessing equipment execute the task.In distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium that comprises memory device.

More than method that a kind of medical information processing server provided by the present invention and a kind of medical information are handled., be described in detail, to have used specific case herein principle of the present invention and embodiment have been set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.

Claims (11)

1. a medical information processing server is characterized in that, comprising:

The case information acquisition module is used to include the case information that the user provided by account certification to first information storehouse;

The public information acquisition module is used to include medical treatment reference information to the second information bank that the user by account certification submits at public information platform;

The classify and grading processing module is used for information classification, classification processing are carried out in the described first information storehouse and/or second information bank.

2. medical information processing server as claimed in claim 1 is characterized in that described user comprises the user who has user end apparatus, and described server also comprises:

The physiological data information bank is used to store the physiological data of gathering from user end apparatus, and, according to the health records information of described physiological data generation.

3. medical information processing server as claimed in claim 1 or 2 is characterized in that, also comprises:

Family disease information storehouse is used to store described family's disease information that the user provided by account certification.

4. medical information processing server as claimed in claim 1 is characterized in that, described classify and grading processing module comprises:

The classification processing sub is used for according to classification of diseases standard, illness position and/or the symptom information corresponding classification of information distribution to the described first information storehouse and/or second information bank.

5. medical information processing server as claimed in claim 2 is characterized in that, described classify and grading processing module also comprises:

The classification processing sub, be used for the information truth degree being carried out object information after the verification according to described health records information, and/or the user is at the good and bad feedback information of described information, respectively to the corresponding rank of information distribution in the described first information storehouse and/or second information bank.

6. medical information processing server as claimed in claim 4 is characterized in that, also comprises:

Keyword sample storehouse generation module is used for generating keyword sample storehouse according to described classification information.

7. medical information processing server as claimed in claim 1 is characterized in that described case information obtains from certified hospital database, and described medical treatment reference information obtains from certified scientific research paper database and/or open network data base.

8. medical information processing server as claimed in claim 1 is characterized in that described case information comprises individual privacy information, and described server also comprises:

The shielding processing module is used at the described case information of storage the individual privacy information in the described case information being carried out shielding processing to the first information storehouse.

9. the method that medical information is handled is characterized in that, comprising:

The account information of authenticated, if authentication is passed through, then carry out following steps:

Include case information that this user provides to first information storehouse; And, include medical treatment reference information to the second information bank that this user submits at public information platform;

Information classification, classification processing are carried out in the described first information storehouse and/or second information bank.

10. method as claimed in claim 9 is characterized in that, describedly first information storehouse and/or second information bank are carried out the step that information classification, classification handle comprises:

According to classification of diseases standard, illness position and/or symptom information to the corresponding classification of information distribution in the described first information storehouse and/or second information bank.

11. method as claimed in claim 9 is characterized in that, described user comprises the user who has user end apparatus, and described method also comprises:

The physiological data that storage is gathered from user end apparatus, and, according to the health records information of described physiological data generation;

Describedly first information storehouse and/or second information bank carried out the step that information classification, classification handle also comprise:

According to described health records information the information truth degree is carried out object information after the verification, and/or the user is at the good and bad feedback information of described information, respectively to the corresponding rank of information distribution in the described first information storehouse and/or second information bank.

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