CN116933306A - Medical clinical examination diagnosis case retrieval system based on big data - Google Patents
Medical clinical examination diagnosis case retrieval system based on big data Download PDFInfo
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- CN116933306A CN116933306A CN202310769262.3A CN202310769262A CN116933306A CN 116933306 A CN116933306 A CN 116933306A CN 202310769262 A CN202310769262 A CN 202310769262A CN 116933306 A CN116933306 A CN 116933306A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 19
- 230000005540 biological transmission Effects 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 13
- 238000012795 verification Methods 0.000 claims description 23
- 150000001875 compounds Chemical class 0.000 claims description 18
- 201000010099 disease Diseases 0.000 claims description 12
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 12
- 230000007170 pathology Effects 0.000 claims description 9
- 230000001502 supplementing effect Effects 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 7
- 238000012360 testing method Methods 0.000 claims description 4
- 239000002131 composite material Substances 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 239000013589 supplement Substances 0.000 claims description 2
- 238000003771 laboratory diagnosis Methods 0.000 claims 5
- 238000012552 review Methods 0.000 abstract description 5
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 208000024891 symptom Diseases 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 239000000969 carrier Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000009469 supplementation Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/90335—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/33—User authentication using certificates
- G06F21/335—User authentication using certificates for accessing specific resources, e.g. using Kerberos tickets
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/34—User authentication involving the use of external additional devices, e.g. dongles or smart cards
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/604—Tools and structures for managing or administering access control systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention belongs to the technical field of medical data review systems, in particular to a medical clinical examination and diagnosis case review system based on big data, which comprises a medical big data module, a data transmission module and a hospital office module; the medical big data module is used for processing the data transmitted by the data transmission module, storing the data into the database, generating a temporary medical record report and calling out the data of the similar medical record in the database, and transmitting the temporary medical record report and the data of the similar medical record in the database into the hospital office module through the data transmission module and displaying the data through the PC terminal. According to the invention, similar medical records are retrieved from the database of the medical big data module by using the medical records of the patient, so that a doctor is assisted in timely and effective diagnosis, the patient identity information of the reference medical record is hidden and protected in the inquiry process, the patient privacy is prevented from being leaked, the reference medical record is replaced in real time, the doctor can quickly make diagnosis, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of medical data review systems, in particular to a medical clinical examination and diagnosis case review system based on big data.
Background
Medical records are carriers for recording the name, sex, age, occupation, native place, work unit or address of a patient, complaints, current medical history, past history, various positive and negative signs, diagnosis or impression and treatment comments, and are signed by doctors, so that cases have a vital role for the doctors to rapidly judge the condition of the patient. Meanwhile, in daily work, doctors often need to refer to the treatment scheme of the existing case according to the symptoms of the current patient. The physical sign data and the inspection data of the patient together form a multidimensional disease feature vector, similar cases are called out from a database by utilizing disease features, and a doctor can make diagnosis decisions faster and more accurately and give corresponding treatment schemes by referring to the previous cases.
The medical system operated at present is more random for the retrieval of cases, cannot well protect the privacy of patients, can possibly change the cases of the patients randomly, can mislead the doctor for the retrieval, delay the illness state of the patients and seriously endanger the life safety of the patients.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a medical clinical examination and diagnosis case retrieval system based on big data, which solves the problems that the medical system operated at present is random for retrieving cases, cannot well protect the privacy of patients, can randomly change the cases of the patients, mislead the doctor to retrieve, delay the illness state of the patients and seriously endanger the life safety of the patients.
(II) technical scheme
The invention adopts the following technical scheme for realizing the purposes:
a medical clinical examination and diagnosis case retrieval system based on big data comprises a medical big data module, a data transmission module and a hospital office module;
the medical big data module is used for processing the data transmitted by the data transmission module, storing the data into the database, generating a temporary medical record report according to the processing result and calling out the data of the similar medical record in the database, transmitting the temporary medical record report and the data of the similar medical record in the database into the hospital office module through the data transmission module, and displaying the data through the PC terminal;
the hospital office module is used for verifying identities of doctors and patients together with the identity verification module and the data input module, and meanwhile the data input module is used for inputting or scanning and inputting pathology information of the patients manually by the doctors, and the identity verification and the information input are realized through a PC terminal in communication connection with the hospital office module.
Further, the identity verification module comprises a doctor identity verification unit and a patient identity verification unit;
the doctor identity verification unit is an electronic U shield certificate of a doctor and is used for verifying the identity of the doctor, the certificate is a mark representing the identity of the doctor, each doctor has a unique certificate number, the doctor can be uniquely distinguished, the non-professional doctor can be prevented from randomly changing cases, and the change record of each doctor can be consulted at any time;
the patient identity verification unit is an identity card reader and is used for effectively identifying the authenticity of the identity card, the information including the name, the address, the photo and the like is displayed one by one and is compared with the patient information on the temporary medical record, so that whether the patient is the same person is judged.
Further, the information input module comprises a PC terminal interface input unit and a scanning input unit;
the PC terminal input unit is used for supplementing and modifying the temporary medical record when a doctor makes a consultation on a patient to form a new medical record report, and transmitting the new medical record report to a database of the medical big data module through the hospital office module and the data transmission module for storage;
the scanning input unit is used for scanning the examination report of the patient, and transmitting the scanning result to the electronic medical record of the PC terminal to supplement the electronic medical record;
the clinical laboratory system database is in communication connection with the hospital office module and is used for updating patient disease data in medical records in real time in the medical record generation process, retrieving the latest test data of the patient from the clinical laboratory system database once before each medical record generation and supplementing the latest test data to cases.
Furthermore, the APP is a medical data system of a hospital, doctors and patients register account numbers according to personal information, a specific case data file is formed for each patient, the case data file is updated and modified in real time along with the results of the doctors, the patients and each examination, a cross-hospital data sharing platform is set in the APP, and after the patients change the hospital, previous cases can be reviewed.
Further, the medical big data module is arranged in a cloud server, the cloud server also comprises a data receiving module for receiving data, and meanwhile, the cloud server is also provided with a data processing module for processing the received data and a cloud computing processing module for screening and retrieving the data, and retrieving similar medical record data is carried out according to the generated temporary medical record data;
the cloud computing processing module can retrieve similar medical record data through keyword retrieval, and the specific retrieval steps are as follows:
s1, clustering the pathology keywords through a clustering algorithm, wherein the pathology keywords comprise a plurality of compound clustering nodes, and each compound clustering node corresponds to a plurality of keywords;
s2, obtaining medical record keywords, matching the medical record keywords with the compound clustering nodes, and finally obtaining matched compound clustering nodes, so that similarity matching of the keywords is realized;
s3, giving different weights to the composite clustering nodes through an expert algorithm;
s4, matching the medical record keywords with the compound clustering nodes, and calculating the similarity of the basic information keywords and the similarity of the disease information keywords according to the weight of the compound clustering nodes successfully matched and the number of successfully matched;
s5, selecting the first three similar medical record data with high similarity for referring to and consulting by doctors.
(III) beneficial effects
Compared with the prior art, the invention provides a medical clinical examination and diagnosis case retrieval system based on big data, which has the following beneficial effects:
according to the invention, similar medical records are retrieved from the database of the medical big data module by using the medical records of the patient, diagnosis is effectively made by assisting a doctor in time, and a treatment scheme for dealing with symptoms is adopted, identities of the doctor and the patient are verified in the inquiry process, meanwhile, patient identity information of the reference medical records are hidden and protected, patient privacy is prevented from being leaked, and the reference medical records are replaced and read in real time when the medical records are modified in the inquiry process, so that the doctor can make diagnosis quickly, the working efficiency is improved, errors are effectively avoided when the identity of the patient is verified, the doctor can know the illness state of the patient accurately, and malicious modification of the patient medical records by the doctor can be avoided when the identity of the doctor is verified, thereby facilitating management of the medical records.
Drawings
FIG. 1 is a schematic diagram of a system of the present invention;
FIG. 2 is a flow chart of medical record generation in the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
As shown in fig. 1 and 2, one embodiment of the present invention proposes: the medical treatment big data transmission system comprises a medical treatment big data module, a data transmission module and a hospital office module;
the medical big data module is used for processing the data transmitted by the data transmission module and storing the data into the database, generating a temporary medical record report according to the processing result and retrieving the data of similar medical records in the database, transmitting the temporary medical record report and retrieving the data of the similar medical records in the database into the hospital office module through the data transmission module, hiding the identity information of a patient of the medical records in the similar medical records retrieved in the database, avoiding leakage of patient privacy, simultaneously displaying the temporary medical records through the PC terminal, wherein the temporary medical records comprise basic identity information of the patient and basic disease feature description, and when a doctor inquires, the temporary medical records are used for primarily knowing the disease condition of the patient so as to facilitate the doctor to quickly know the basic information of the disease condition, and simultaneously referring to the medical records of the history disease case in the database, assisting the doctor to inquire the patient and make corresponding treatment scheme, and in the process of inquiring the temporary medical records in real time, and retrieving the medical records similar to the modified medical records in the database again according to the new generated medical records, so that the doctor can conveniently and correctly and more conveniently modify the treatment scheme of the patient;
the hospital office module is used for matching with the identity verification module and the data input module to verify identities of doctors and patients together, the identity verification can be carried out to avoid doctors from maliciously retrieving medical records from the database, the privacy of the patients is protected, meanwhile, the medical records are effectively protected, the identity verification of the patients can be carried out to effectively avoid that other people maliciously impersonate the patients to see the doctor in the patient seeing process, an event end is manufactured for the whole inquiring process, the doctors are guaranteed to effectively conduct inquiring, meanwhile, the data input module is used for manually inputting or scanning and inputting pathology information of the patients, the identity verification and the information input are realized through a PC terminal in communication connection with the hospital office module, timely modification of the medical records is facilitated according to dictation and subsequent examination reports of the patients, and the inquiring efficiency is improved.
The identity verification module comprises a doctor identity verification unit and a patient identity verification unit;
the doctor identity verification unit is an electronic U shield certificate of a doctor and is used for verifying the identity of the doctor, the certificate is a mark representing the identity of the doctor, each doctor has a unique certificate number, the doctor can be uniquely distinguished, the non-professional doctor can be prevented from randomly changing cases, the change record of each doctor can be referred at any time, and the medical record can be ensured to be modified and referred in the process of referring to the medical record by the doctor, so that the medical record can be managed;
the patient identity verification unit is an identity card reader and is used for effectively identifying the authenticity of the identity card, the information including names, addresses, pictures and the like is displayed one by one and is compared with the patient information on the temporary medical record, so that whether the patient is the same person or not is judged, whether the patient is the patient or not is judged, and the problem that the patient is not matched with the medical record in the process of taking the patient is avoided.
The information input module comprises a PC terminal interface input unit and a scanning input unit;
the PC terminal input unit is used for supplementing and modifying the temporary medical record when a doctor makes a consultation on a patient to form a new medical record report, and the new medical record report is transmitted to a database of the medical big data module through the hospital office module and the data transmission module to be stored, so that the doctor can change and modify the temporary medical record in time in the process of making the consultation on the patient, and the working efficiency is improved;
the scanning and recording unit is used for scanning the examination report of the patient, transmitting the scanning result to the electronic medical record of the PC terminal, and supplementing the electronic medical record, so that the examination report information can be recorded and supplemented into the electronic medical record in time, and the medical record supplementation is completed;
the clinical laboratory system database is in communication connection with the hospital office module and is used for updating patient disease data in medical records in real time in the medical record generation process, retrieving the latest examination data of the patient from the clinical laboratory system database before each medical record generation, supplementing the latest examination data into cases, conveniently and timely supplementing and inputting various data of the patient in the clinical laboratory into the cases, ensuring that doctors can refer to the consultation, improving the working efficiency of the doctors, and timely and effectively making treatment schemes.
The medical big data module is arranged in the cloud server, the cloud server also comprises a data receiving module for receiving data, a data processing module for processing the received data and a cloud computing processing module for screening and retrieving the data, and the medical big data module is used for retrieving similar medical record data according to the generated temporary medical record data, so that the medical record data is transmitted and stored, and meanwhile, similar cases in the historical cases can be retrieved from the database conveniently, diagnosis can be assisted by doctors, and a proper treatment scheme can be made;
the APP is a medical data system of a hospital, doctors and patients register account numbers according to personal information, a specific case data file is formed for each patient, the case data file is updated and modified in real time along with the doctor, the patient and the result of each examination, a cross-hospital data sharing platform is set in the APP, after the patient changes the hospital, the previous case can be reviewed, the personal account numbers are conveniently registered directly by using the mobile phone APP before the patient sees the doctor, the personal information and the related description of the own illness state are input in a supplementary mode, the related information is provided for a PC terminal and transmitted to a hospital office module, the related doctor is recommended according to the information of the illness state description, registration reservation of the doctor is finished at the same time, communication can be carried out between the APP and medical staff of the hospital, the doctor can primarily know about the illness state of the doctor and the treatment cases of similar illness states, the doctor can also review the basic illness state information of the patient with the registration reservation under the doctor, follow-up consultation treatment is facilitated, and the working efficiency of the doctor is improved;
the retrieval of the similar medical record data by the cloud computing processing module is realized through keyword retrieval, the retrieval of the keywords is convenient and rapid, similar cases are retrieved from a database, a doctor is assisted to make effective diagnosis, in the keyword retrieval process, firstly, the keywords of the symptoms are retrieved, on the basis of the retrieval, the keyword retrieval of the inspection report is performed, the retrieval efficiency is improved, and the specific retrieval steps are as follows:
s1, clustering the pathology keywords through a clustering algorithm, wherein the pathology keywords comprise a plurality of compound clustering nodes, and each compound clustering node corresponds to a plurality of keywords;
s2, obtaining medical record keywords, matching the medical record keywords with the compound clustering nodes, and finally obtaining matched compound clustering nodes, so that similarity matching of the keywords is realized;
s3, giving different weights to the composite clustering nodes through an expert algorithm;
s4, matching the medical record keywords with the compound clustering nodes, and calculating the similarity of the basic information keywords and the similarity of the disease information keywords according to the weight of the compound clustering nodes successfully matched and the number of successfully matched;
s5, selecting the first three similar medical record data with high similarity for referring to and consulting by doctors.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A medical clinical examination diagnosis case retrieval system based on big data is characterized in that: the medical treatment big data transmission system comprises a medical treatment big data module, a data transmission module and a hospital office module;
the medical big data module is used for processing the data transmitted by the data transmission module, storing the data into the database, generating a temporary medical record report according to the processing result and calling out the data of the similar medical record in the database, transmitting the temporary medical record report and the data of the similar medical record in the database into the hospital office module through the data transmission module, and displaying the data through the PC terminal;
the hospital office module is used for verifying identities of doctors and patients together with the identity verification module and the data input module, and meanwhile, the data input module is used for inputting or scanning and inputting pathology information of the patients manually by the doctors, and the identity verification and the information input are realized through a PC terminal which is in communication connection with the hospital office module;
the APP is used for the patient himself and the doctor to directly input the related case information after verifying the identity information through the operation of the mobile phone, and the supplementary input of the information is completed.
2. The big data based medical clinical laboratory diagnosis case retrieval system of claim 1, wherein: the identity verification module comprises a doctor identity verification unit and a patient identity verification unit;
the doctor identity verification unit is an electronic U shield certificate of a doctor and is used for verifying the identity of the doctor, the certificate is a mark representing the identity of the doctor, each doctor has a unique certificate number, the doctor can be uniquely distinguished, the non-professional doctor can be prevented from randomly changing cases, and the change record of each doctor can be consulted at any time;
the patient identity verification unit is an identity card reader and is used for effectively identifying the authenticity of the identity card, the information including the name, the address, the photo and the like is displayed one by one and is compared with the patient information on the temporary medical record, so that whether the patient is the same person is judged.
3. The big data based medical clinical laboratory diagnosis case retrieval system of claim 1, wherein: the information input module comprises a PC terminal interface input unit and a scanning input unit;
the PC terminal input unit is used for supplementing and modifying the temporary medical record when a doctor makes a consultation on a patient to form a new medical record report, and transmitting the new medical record report to a database of the medical big data module through the hospital office module and the data transmission module for storage;
the scanning input unit is used for scanning the examination report of the patient, and transmitting the scanning result to the electronic medical record of the PC terminal to supplement the electronic medical record;
the clinical laboratory system database is in communication connection with the hospital office module and is used for updating patient disease data in medical records in real time in the medical record generation process, retrieving the latest test data of the patient from the clinical laboratory system database once before each medical record generation and supplementing the latest test data to cases.
4. The big data based medical clinical laboratory diagnosis case retrieval system of claim 1, wherein: the APP is a medical data system of a hospital, doctors and patients register account numbers according to personal information, a specific case data file is formed for each patient, the case data file is updated and modified in real time along with the results of the doctors, the patients and each examination, a cross-hospital data sharing platform is set in the APP, and after the patients change the hospital, previous cases can be reviewed.
5. The big data based medical clinical laboratory diagnosis case retrieval system of claim 1, wherein: the medical treatment big data module is arranged in the cloud server, the cloud server further comprises a data receiving module for receiving data, a data processing module for processing the received data and a cloud computing processing module for screening and retrieving the data, and retrieval of similar medical record data is carried out according to the generated temporary medical record data.
6. The big data based medical clinical laboratory diagnosis case retrieval system of claim 5, wherein: the cloud computing processing module can retrieve similar medical record data through keyword retrieval, and the specific retrieval steps are as follows:
s1, clustering the pathology keywords through a clustering algorithm, wherein the pathology keywords comprise a plurality of compound clustering nodes, and each compound clustering node corresponds to a plurality of keywords;
s2, obtaining medical record keywords, matching the medical record keywords with the compound clustering nodes, and finally obtaining matched compound clustering nodes, so that similarity matching of the keywords is realized;
s3, giving different weights to the composite clustering nodes through an expert algorithm;
s4, matching the medical record keywords with the compound clustering nodes, and calculating the similarity of the basic information keywords and the similarity of the disease information keywords according to the weight of the compound clustering nodes successfully matched and the number of successfully matched;
s5, selecting the first three similar medical record data with high similarity for referring to and consulting by doctors.
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| CN202310769262.3A CN116933306A (en) | 2023-06-27 | 2023-06-27 | Medical clinical examination diagnosis case retrieval system based on big data |
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| CN202310769262.3A CN116933306A (en) | 2023-06-27 | 2023-06-27 | Medical clinical examination diagnosis case retrieval system based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117275752A (en) * | 2023-11-20 | 2023-12-22 | 中国人民解放军总医院 | Case clustering analysis method and system based on machine learning |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117275752A (en) * | 2023-11-20 | 2023-12-22 | 中国人民解放军总医院 | Case clustering analysis method and system based on machine learning |
| CN117275752B (en) * | 2023-11-20 | 2024-03-22 | 中国人民解放军总医院 | Case clustering analysis method and system based on machine learning |
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