CN115116584A - Safe and efficient intelligent medical data analysis method and device based on 5G - Google Patents
Safe and efficient intelligent medical data analysis method and device based on 5G Download PDFInfo
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- G16H30/00—ICT specially adapted for the handling or processing of medical images
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Abstract
The invention discloses a safe and efficient intelligent medical data analysis method and device based on 5G, wherein the device comprises the following steps: the system comprises a data acquisition unit, a preprocessing unit, an analysis unit, a situation determination unit, an adjustment unit and a feedback unit; the device is used for executing a safe and efficient intelligent medical data analysis method based on 5G, and the method comprises the following steps: medical equipment detects to obtain medical image data, encrypts the medical image data and transmits the medical image data to a cloud end through 5G transmission; decrypting the encrypted medical image data received by the cloud, and preprocessing the encrypted medical image data to obtain intermediate data; inputting the intermediate data into an analysis model to analyze the health information to obtain an analysis result; the intermediate data includes personal information and image information; and determining the current health condition data according to the analysis result and the personal information, and completing the 5G-based safe and efficient intelligent medical data analysis.
Description
Technical Field
The invention relates to an intelligent medical data analysis method and device, in particular to a safe and efficient intelligent medical data analysis method and device based on 5G.
Background
At present, a big data technology for medical treatment is continuously developed, and particularly with the development of a 5G technology, the requirements of people for a faster and more efficient diagnosis and treatment scheme are increasingly expanded. However, currently, most of the analysis methods employ an experienced doctor to perform analysis, and then the analyzed results are uploaded to a cloud server, and health conditions are managed and predicted according to upper and lower limit standards and recommendation standards given by historical curves of the data, rigid clinical guidelines, health guidelines and the like for health signs, so that the disease risk and the health conditions of the user cannot be truly reflected, even the future risk trend of the user for a specific disease cannot be reflected, and the analysis results are likely to have low accuracy due to errors and the like caused by experience problems of analysts, thereby further affecting subsequent health monitoring.
Based on this, a method for performing health analysis using the 5G technology and the big data technology has been proposed, but there is still a contradiction between efficiency and accuracy, and meanwhile, because confidentiality is poor, the problem of patient information leakage is likely to occur. At present, the confidentiality of data information becomes a problem which is more important in the industry, and particularly, the situation that patients are full of bad advertisements due to the information leakage of the patients becomes a problem which is highly important in the whole industry and even the whole society.
Therefore, it is necessary to design a new method, which has high analysis efficiency, high accuracy, high safety and is beneficial to the subsequent health monitoring.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to solve the technical problem of the prior art and provides a safe and efficient intelligent medical data analysis method and device based on 5G.
In order to solve the technical problems, the invention discloses a safe and efficient intelligent medical data analysis method and device based on 5G.
The safe and efficient intelligent medical data analysis method based on the 5G comprises the following steps:
step 1, medical image data are obtained through medical equipment detection, encrypted and transmitted to a cloud through 5G transmission;
step 2, decrypting the encrypted medical image data received by the cloud, and preprocessing the encrypted medical image data to obtain intermediate data;
step 3, inputting the intermediate data into an analysis model to analyze the health information to obtain an analysis result; the intermediate data includes personal information and image information;
and 4, determining the current health condition data according to the analysis result and the personal information, and completing the safe and efficient intelligent medical data analysis based on 5G.
The step 1 comprises the following steps:
step 1-1, selecting a message with any length to generate a medical image data abstract;
step 1-2, encrypting the medical image data abstract through a digital certificate authorization private key to obtain a digital signature;
step 1-3, encrypting the medical image data through a random key to obtain image encrypted data; encrypting the random key through the medical image data public key to obtain an encryption key;
step 1-4, transmitting the digital signature, the digital certificate, the image encryption data and the encryption key to a cloud end through 5G transmission;
the decryption processing method in the step 2 comprises the following steps:
step 2-1, receiving a digital certificate, a digital signature, image encryption data and an encryption key;
step 2-2, carrying out validity verification on the digital certificate;
step 2-3, when the digital certificate is verified to be valid, the digital authorization public key in the digital authorization key pair is used for decrypting the digital signature so as to obtain an image data abstract;
step 2-4, when the digital authorization public key in the digital authorization key pair is used for decrypting the digital signature to obtain the image data abstract, the image data private key in the image data key pair is used for decrypting the encryption key to obtain a random key;
step 2-5, when the image data private key in the image data key pair is used for decrypting the encryption key to obtain the random key, the random key is used for decrypting the image encryption data to obtain the medical image data;
step 2-6, comparing the image data abstract with the medical image data; and when the image data abstract is consistent with the corresponding part in the medical image data, confirming that the medical image data passes the security verification.
The pretreatment step in step 2 comprises: partitioning the image pictures, numbering the image pictures, performing traversal comparison in a database according to the partitioned pictures, determining whether a specific image target exists and the position information of the specific image target according to the partition numbers and the comparison result, and outputting the comparison result as intermediate data; the specific method comprises the following steps:
step 2-7-1, collecting the decrypted medical image data which passes the security verification to obtain initial data;
2-7-2, extracting information from the initial data by adopting an optical character recognition method to obtain personal information, wherein the personal information comprises weight, height, blood type and age;
and 2-7-3, screening the image information in the initial data to obtain intermediate data.
The analysis model in the step 3 is obtained by training a deep learning network by using medical image data with a label indicating whether a specific image target exists or not and a position information label indicating the specific image target when the specific image target exists as a sample set; the analysis result comprises the type of the specific image target and the stage of the specific image target.
The health condition data in the step 4 comprise current health condition data and subsequent health condition data changes; and extracting key words from the analysis result, the stage of the specific image target and the personal information to obtain key features, and screening corresponding current health condition data from a preset mapping table in a database.
The health information in step 3 includes: information related to setting the image target.
A safe and efficient intelligent medical data analysis device based on 5G comprises: the system comprises a data acquisition unit, a preprocessing unit, an analysis unit, a situation determination unit, an adjustment unit and a feedback unit; the device is used for executing a safe and efficient intelligent medical data analysis method based on 5G;
the data acquisition unit is used for acquiring intelligent medical data from medical equipment through a 5G technology to obtain initial data;
the preprocessing unit is used for preprocessing the initial data to obtain intermediate data;
the analysis unit is used for inputting the intermediate data into an analysis model to analyze the health information to obtain an analysis result;
the situation determining unit is used for determining current health situation data according to the analysis result and the personal information;
the adjusting unit is used for adjusting the current health condition data to form a monitoring result;
and the feedback unit is used for feeding back the monitoring result to the terminal and displaying the monitoring result on the terminal.
The pretreatment unit comprises a collection subunit, an extraction subunit and a screening subunit;
the collecting subunit is used for collecting the initial data;
the extraction subunit is used for extracting information from the initial data to obtain personal information and medical image data;
and the screening subunit is used for screening the image information in the initial data to obtain intermediate data.
The situation determination unit includes: a stage determination subunit, a feature extraction subunit and a situation screening subunit;
the stage determining subunit is used for determining the stage of the specific image target according to the analysis result;
the feature extraction subunit is used for extracting keywords according to the analysis result, the stage of the specific image target and the personal information to obtain key features;
and the condition screening subunit is used for screening out the corresponding current health condition data from a preset mapping table in the database according to the key characteristics.
Has the advantages that:
the patient diagnosis data is encrypted, and the 5G technology is utilized to realize the real-time acquisition and transmission of medical data, so that the safety of the data is ensured; the illness state of the patient can be judged more accurately through the training of the disease model, and accurate reference is provided for doctors.
Drawings
The foregoing and/or other advantages of the invention will become further apparent from the following detailed description of the invention when taken in conjunction with the accompanying drawings.
FIG. 1 is a general flow chart of a 5G-based method for analyzing safe and efficient intelligent medical data according to the present invention.
Fig. 2 is a schematic structure diagram of a safe and efficient intelligent medical data analysis device based on 5G.
FIG. 3 is a schematic diagram of the principle structure of the pre-processing unit.
Fig. 4 is a schematic diagram of the principle structure of the situation determination unit.
Detailed Description
The invention provides a safe and efficient intelligent medical data analysis method based on 5G, which comprises the following steps of:
And step 121, determining the current health condition data according to the analysis result and the personal information, and completing the 5G-based safe and efficient intelligent medical data analysis.
Further, the preprocessing step in step 110 includes:
step 211, collecting the initial data;
step 212, extracting information from the initial data by adopting an optical character recognition method to obtain personal information, wherein the personal information comprises weight, height, blood type and age;
step 213, screening the image information in the initial data to obtain intermediate data.
Further, the step 120 further includes:
step 130, determining human health conditions according to the analysis results and the personal information, wherein the human health conditions comprise a disease stage and subsequent health condition changes;
step 131, extracting keywords according to the analysis result, the stage of the specific image target and the personal information to obtain key features, wherein the key features comprise the type of the specific image target, the stage of the specific image target, the sex and the age of the person; specifically, the keyword extraction may employ any existing technique, such as extracting age information by arabic number, extracting gender information by "male or female", or the like. The extraction of the keywords can also be performed according to a preset keyword library, and the scheme still falls within the protection scope of the invention.
And step 132, screening out the corresponding human health condition from a preset mapping table in the database according to the key features.
Further, the step 100 further includes:
step 101, selecting a message with any length to generate an image data abstract;
102, encrypting the image data abstract through a digital authorization private key to obtain a digital signature;
103, encrypting the medical image data through a random key to obtain image encrypted data; encrypting the random key through an image data public key to obtain an encryption key;
104, transmitting the digital signature, the digital certificate, the image encryption data and the encryption key to a cloud end through 5G transmission;
further, the step 110 further includes:
step 111, receiving a digital certificate, a digital signature, image encryption data and an encryption key;
step 112, verifying the validity of the digital certificate;
step 113, when the digital certificate is verified to be valid, decrypting the digital signature by using a digital authorization public key in a digital authorization key pair to obtain an image data abstract;
step 114, when the digital authorization public key in the digital authorization key pair is used to decrypt the digital signature to obtain the image data digest, the image data private key in the image data key pair is used to decrypt the encryption key to obtain a random key;
step 115, when the image data private key in the image data key pair is used to decrypt the encryption key to obtain the random key, the random key is used to decrypt the image encryption data to obtain the medical image data;
step 116, comparing the image data abstract with the medical image data; and when the image data abstract is consistent with the corresponding part in the medical image data, confirming that the medical image data passes the security verification.
A 5G-based safe and efficient intelligent medical data analysis device, as shown in fig. 2, for performing a 5G-based safe and efficient intelligent medical data analysis method, the device comprising: the system comprises a data acquisition unit, a preprocessing unit, an analysis unit, a situation determination unit, an adjustment unit and a feedback unit;
the data acquisition unit is used for acquiring intelligent medical data from medical equipment through a 5G technology to obtain initial data;
the preprocessing unit is used for preprocessing the initial data to obtain intermediate data;
the analysis unit is used for inputting the intermediate data into an analysis model to analyze the health information to obtain an analysis result;
the situation determining unit is used for determining current health situation data according to the analysis result and the personal information;
the adjusting unit is used for adjusting the current health condition data to form a monitoring result;
and the feedback unit is used for feeding back the monitoring result to the terminal and displaying the monitoring result on the terminal.
Further, as shown in fig. 3, the preprocessing unit includes a collecting subunit, an extracting subunit, and a screening subunit;
the collecting subunit is used for collecting the initial data;
the extraction subunit is used for extracting information from the initial data to obtain personal information and medical image data;
and the screening subunit is used for screening the image information in the initial data to obtain intermediate data.
Further, the apparatus further comprises: a situation determining unit, as shown in fig. 4, for determining the health situation of the human body according to the analysis result and the personal information;
the situation determining unit comprises a stage determining subunit, a feature extracting subunit and a situation screening subunit;
the stage determining subunit is used for determining the stage of the specific image target according to the analysis result;
the feature extraction subunit is used for extracting key words according to the analysis result, the stage of the specific image target and the personal information to obtain key features;
and the condition screening subunit is used for screening out the corresponding human health condition from a preset mapping table in the database according to the key characteristics.
Further, the apparatus further comprises: an adjustment unit and a feedback unit;
the adjusting unit is used for adjusting the health condition of the human body to form a monitoring result;
and the feedback unit is used for feeding back the monitoring result to the terminal and displaying the monitoring result on the terminal.
In the specific implementation of the invention, the invention can also provide a computer device which is used for running on the 5G-based safe and efficient intelligent medical data analysis device;
the computer device comprises a processor, a memory and a network interface which are connected through a system bus, wherein the memory comprises a nonvolatile storage medium, an internal memory, the nonvolatile storage medium can store an operating system and a computer program;
the computer program includes program instructions that, when executed, cause the processor 502 to perform a 5G-based secure and efficient intelligent medical data analysis method;
the processor is used for providing calculation and control capacity and supporting the operation of the whole computer equipment;
the internal memory provides an environment for running a computer program in a nonvolatile storage medium, and the computer program can enable a processor to execute a safe and efficient intelligent medical data analysis method based on 5G when being executed by the processor;
the network interface is used for carrying out network communication with other equipment;
the processor is configured to run a computer program stored in the memory, and to implement the steps of:
the received medical image data is decrypted and preprocessed to obtain intermediate data, wherein the intermediate data comprises personal information and image information, and the preprocessing step comprises the following steps: partitioning the image pictures, numbering the image pictures, performing traversal comparison in a database according to the partitioned pictures, determining whether a specific image target exists and the position information of the specific image target according to the partition numbers and the comparison result, and outputting the comparison result as intermediate data;
inputting the intermediate data into an analysis model to analyze health information, wherein the health information refers to information related to a specific image target, the analysis model is obtained by training a deep learning network by using a plurality of medical image data with labels for whether the specific image target exists and position information labels of the specific image target when the specific image target exists as a sample set, and the analysis result comprises the type of the specific image target and the stage of the specific image target;
when the processor implements the step of preprocessing the initial data to obtain intermediate data, the following steps are specifically implemented:
collecting the initial data; extracting information from the initial data to obtain personal information; screening image information in the initial data to obtain intermediate data;
or after the step of inputting the intermediate data into an analysis model for health information analysis to obtain an analysis result is realized, the processor further realizes the following steps:
determining the health condition of the human body according to the analysis result and the personal information;
or, when the processor implements the step of determining the human health condition according to the analysis result and the personal information, the following steps are specifically implemented:
determining the stage of the specific image target according to the analysis result; extracting key words according to the analysis result, the stage of the specific image target and the personal information to obtain key features; screening out corresponding human health conditions from a preset mapping table in a database according to the key features;
or after the step of determining the human health condition according to the analysis result and the personal information is realized, the processor further realizes the following steps:
adjusting the health condition of a human body to form a monitoring result; and feeding back the monitoring result to a terminal, and displaying the monitoring result at the terminal.
In specific implementation, the present invention further provides a computer storage medium, wherein the computer storage medium may store a program, and the program may include some or all of the steps in the embodiments provided by the present invention when executed. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like.
Those skilled in the art will readily appreciate that the techniques of the embodiments of the present invention may be implemented as software plus a required general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present invention may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
The invention provides a method and a device for analyzing safe and efficient intelligent medical data based on 5G, and a method and a device for implementing the technical scheme are numerous, the above description is only a preferred embodiment of the invention, and it should be noted that, for a person skilled in the art, a plurality of improvements and decorations can be made without departing from the principle of the invention, and the improvements and decorations should also be regarded as the protection scope of the invention. All the components not specified in this embodiment can be implemented by the prior art.
Claims (10)
1. A safe and efficient intelligent medical data analysis method based on 5G is characterized by comprising the following steps:
step 1, medical image data are obtained through medical equipment detection, encrypted and transmitted to a cloud through 5G transmission;
step 2, decrypting the encrypted medical image data received by the cloud, and preprocessing the encrypted medical image data to obtain intermediate data;
step 3, inputting the intermediate data into an analysis model to analyze the health information to obtain an analysis result; the intermediate data includes personal information and image information;
and 4, determining the current health condition data according to the analysis result and the personal information, and completing the safe and efficient intelligent medical data analysis based on 5G.
2. The method for analyzing safe and efficient intelligent medical data based on 5G as claimed in claim 1, wherein the step 1 comprises:
step 1-1, selecting a message with any length to generate a medical image data abstract;
step 1-2, encrypting the medical image data abstract through a digital certificate authorization private key to obtain a digital signature;
step 1-3, encrypting the medical image data through a random key to obtain image encrypted data; encrypting the random key through the medical image data public key to obtain an encryption key;
and 1-4, transmitting the digital signature, the digital certificate, the image encryption data and the encryption key to the cloud through 5G transmission.
3. The 5G-based safe and efficient intelligent medical data analysis method according to claim 2, wherein the decryption processing method in the step 2 comprises the following steps:
step 2-1, receiving a digital certificate, a digital signature, image encryption data and an encryption key;
step 2-2, carrying out validity verification on the digital certificate;
step 2-3, when the digital certificate is verified to be valid, the digital authorization public key in the digital authorization key pair is used for decrypting the digital signature so as to obtain an image data abstract;
step 2-4, when the digital authorization public key in the digital authorization key pair is used for decrypting the digital signature to obtain the image data abstract, the image data private key in the image data key pair is used for decrypting the encryption key to obtain a random key;
step 2-5, when the image data private key in the image data key pair is used for decrypting the encryption key to obtain the random key, the random key is used for decrypting the image encryption data to obtain the medical image data;
step 2-6, comparing the image data abstract with the medical image data; and when the image data abstract is consistent with the corresponding part in the medical image data, confirming that the medical image data passes the security verification.
4. The method as claimed in claim 3, wherein the preprocessing step in step 2 comprises: partitioning the image pictures, numbering the image pictures, performing traversal comparison in a database according to the partitioned pictures, determining whether a specific image target exists and the position information of the specific image target according to the partition numbers and the comparison result, and outputting the comparison result as intermediate data; the specific method comprises the following steps:
step 2-7-1, collecting the decrypted medical image data which passes the security verification to obtain initial data;
2-7-2, extracting information from the initial data by adopting an optical character recognition method to obtain personal information, wherein the personal information comprises weight, height, blood type and age;
and 2-7-3, screening the image information in the initial data to obtain intermediate data.
5. The method as claimed in claim 4, wherein the analysis model in step 3 is obtained by training a deep learning network with medical image data labeled with the presence or absence of a specific image object and the location information of the specific image object when the specific image object is present as a sample set; the analysis result comprises the type of the specific image target and the stage of the specific image target.
6. The method for analyzing safe and efficient intelligent medical data based on 5G as claimed in claim 5, wherein the health condition data in step 4 includes current health condition data and subsequent health condition data changes; and extracting key words from the analysis result, the stage of the specific image target and the personal information to obtain key features, and screening corresponding current health condition data from a preset mapping table in a database.
7. The method as claimed in claim 6, wherein the health information in step 3 includes: information related to setting the image target.
8. A safe and efficient intelligent medical data analysis device based on 5G is characterized in that the device comprises: the system comprises a data acquisition unit, a preprocessing unit, an analysis unit, a situation determination unit, an adjustment unit and a feedback unit; the device is used for executing a safe and efficient intelligent medical data analysis method based on 5G;
the data acquisition unit is used for acquiring intelligent medical data from medical equipment through a 5G technology to obtain initial data;
the preprocessing unit is used for preprocessing the initial data to obtain intermediate data;
the analysis unit is used for inputting the intermediate data into an analysis model to analyze the health information to obtain an analysis result;
the situation determining unit is used for determining current health situation data according to the analysis result and the personal information;
the adjusting unit is used for adjusting the current health condition data to form a monitoring result;
and the feedback unit is used for feeding back the monitoring result to the terminal and displaying the monitoring result on the terminal.
9. The 5G-based safe and efficient intelligent medical data analysis device as claimed in claim 8, wherein the preprocessing unit comprises an aggregation subunit, an extraction subunit and a screening subunit;
the collecting subunit is used for collecting the initial data;
the extraction subunit is used for extracting information from the initial data to obtain personal information and medical image data;
and the screening subunit is used for screening the image information in the initial data to obtain intermediate data.
10. The 5G-based safe and efficient intelligent medical data analysis device according to claim 9, wherein the situation determination unit comprises: a stage determination subunit, a feature extraction subunit and a situation screening subunit;
the stage determining subunit is used for determining the stage of the specific image target according to the analysis result;
the feature extraction subunit is used for extracting keywords according to the analysis result, the stage of the specific image target and the personal information to obtain key features;
and the condition screening subunit is used for screening out the corresponding current health condition data from a preset mapping table in the database according to the key characteristics.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117082155A (en) * | 2023-10-18 | 2023-11-17 | 北京健滨医药科技有限公司 | Medical image transmission system based on 5G technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117082155A (en) * | 2023-10-18 | 2023-11-17 | 北京健滨医药科技有限公司 | Medical image transmission system based on 5G technology |
| CN117082155B (en) * | 2023-10-18 | 2024-01-23 | 北京健滨医药科技有限公司 | Medical image transmission system based on 5G technology |
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