CN113990489A - Intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine - Google Patents
Intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine Download PDFInfo
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- CN113990489A CN113990489A CN202111279470.2A CN202111279470A CN113990489A CN 113990489 A CN113990489 A CN 113990489A CN 202111279470 A CN202111279470 A CN 202111279470A CN 113990489 A CN113990489 A CN 113990489A
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- 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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert 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
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- 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
Abstract
The invention relates to the technical field of traditional Chinese medicine clinical data intelligent processing systems, in particular to a traditional Chinese medicine clinical syndrome diagnosis and treatment intelligent data processing and analyzing mining system; a clinical database for storing data from an associated TCM data warehouse or self-collected; according to the invention, when the data model in the clinical database is input from the outside, the data preprocessing module gradually removes inferior medical records, eliminates abnormal data in medical record data and the like, classifies and summarizes the data of each attribute in the medical record data model, and the data analysis module performs comparison analysis with the data stored in the clinical database one by one according to the data classified by the attribute of the data preprocessing module to determine the reasonability of each attribute data of the medical record data model.
Description
Technical Field
The invention relates to the technical field of traditional Chinese medicine clinical data intelligent processing systems, in particular to a traditional Chinese medicine clinical syndrome diagnosis and treatment intelligent data processing and analyzing mining system.
Background
Traditional Chinese medicine is a subject based on clinical practice, and a large amount of valuable data and literature data accumulated in the process of clinical practice are valuable wealth of traditional Chinese medicine. Clinical research is developed in the real world by utilizing clinical actual data, and clinically useful or theoretically meaningful knowledge is obtained by induction from large-scale data, so that the method is an effective technical means for forming innovative knowledge and clinical decision and provides reliable technical support for making traditional Chinese medicine related decision and diagnosis and treatment schemes.
An intelligent system for mining and assisting decision making of Chinese medical science medical record is disclosed in the patent document with the Chinese patent application number of CN 106919671A, which is based on the unstructured text medical record written by the real standard outpatient medical record to realize the extraction and expression of the automated Chinese medical science prescription, dialectical treatment knowledge, and comprises a database in a back-end server and the on-line/off-line application of the Chinese medical knowledge map on a front-end computer, wherein the database stores a core prescription, a syndrome pair, a syndrome group, the evolution rule of Chinese medical mechanism and a data chain of the interrelation among the above knowledge elements according to a certain data storage structure, and the analysis result obtained by map node retrieval, node set retrieval and area positioning of the Chinese medical knowledge map integrates the characteristics of directed network, semantic distance, coordinate positioning, hierarchical clustering-based topological analysis and the like, thereby greatly enhancing the core prescription, The syndrome pair, the syndrome group, the evolution rule of the traditional Chinese medicine pathogenesis and the discovery capability of the interrelation between the knowledge elements are realized, although the traditional Chinese medicine text case mining system provided by the patent document has a certain effect of improving the traditional Chinese medicine diagnosis efficiency, in the prior art, a data chain stored in a database is not strictly checked and verified, various and uncertain factors can influence the final diagnosis case history data in the traditional Chinese medicine clinical diagnosis process, and after the clinical case history data which is not screened by big data is put into the database for use, the accuracy of the final judgment of the mining system can be greatly influenced, so that the evolution and generated traditional Chinese medicine knowledge achievement of the mining system does not have reliability and scientificity.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine, wherein a data model in a clinical database of the system is from a related traditional Chinese medicine data warehouse or from data automatically acquired by a data writing module, when the automatically acquired data is input from the outside, poor medical records are gradually removed in a data preprocessing module, abnormal data in the medical records are removed, a metering unit in standard compatibility, traditional Chinese medicine terms are uniformly normalized, anonymized and image definition is processed, data of each attribute in a medical record data model are classified and summarized, the primarily screened medical record data are transmitted to a data analyzing module, the data analyzing module performs comparison analysis with data stored in the clinical database one by one according to the classified data of the data preprocessing module, the reasonability of each attribute data of the medical record data model is determined, so that the method has strong compatibility and integration when a clinical database is established and supplemented, and the accuracy and efficiency of diagnosis can be improved in practical application.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent data processing and analysis mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine comprises:
a clinical database for storing data from an associated TCM data warehouse or self-collected;
the data preprocessing module is used for carrying out corresponding data preprocessing on various data before data mining analysis so as to ensure that valuable data are obtained;
the data analysis module is used for preliminarily determining data attributes and record sets required by data mining and carrying out preliminary mining experiments by sampling on a small scale from the original data set;
the data writing module is used for directly storing an external data source into the clinical database and has a data retrieval function;
the data modeling module is used for determining the establishment of a data model through a mining algorithm, a training and inspection program;
the data evaluation module is used for evaluating the data model established by the data modeling module so as to determine that the data model is in an error range of real data;
the application module is used for storing the data model which is evaluated by the data evaluation module in a clinical database and applying the mined conclusion to clinical practice;
and the data modification module is used for modifying or deleting the data model which is not passed after being evaluated by the data evaluation module, and importing the modified data model into the data modeling module again.
The invention is further configured to: the data preprocessing module comprises a data cleaning module, a data integration module, a data conversion module and a data reduction module, wherein:
the data cleaning module is used for deleting medical record model data containing data loss, defect or inconsistent data correspondence in the clinical medical record data;
the data integration module is used for uniformly classifying and sorting various data in the clinical medical record data;
the data conversion module is used for uniformly converting the order of magnitude units of the prescription in the clinical medical record data so as to standardize the units of the data;
the data reduction module is used for removing medical record model data without diseases and treatment schemes from clinical medical record data.
The invention is further configured to: the data analysis model comprises a traditional Chinese medicine symptom analysis module, a traditional Chinese medicine compatibility analysis module, a disease diagnosis analysis module, a traditional Chinese medicine document analysis module and a medical image analysis module, wherein:
the Chinese medicine symptom analysis module is used for carrying out attribute classification on clinical symptoms;
the traditional Chinese medicine compatibility analysis module is used for searching the relationship between clinical symptoms and compound formulas, the compatibility relationship of compound medicines and the interaction relationship between medicines and flavors;
the disease diagnosis and analysis module is used for diagnosing disease attributes through the symptoms obtained by the traditional Chinese medicine syndrome analysis module;
the traditional Chinese medicine literature analysis module is used for comparing and analyzing symptoms, disease diagnosis results and treatment compatibility with a large amount of literature data in the field of traditional Chinese medicine;
the medical image analysis module is used for mining effective models, association relations, rules and general rules from a large amount of image data to assist diagnosis and treatment.
The invention is further configured to: the data integration module is also used for traditional Chinese medicine term preprocessing, anonymization preprocessing, information fusion preprocessing and image data preprocessing.
The invention is further configured to: the Chinese medicine term preprocessing is used for reasonably and uniformly converting the Chinese medicine terms.
The invention is further configured to: the anonymization preprocessing is used for anonymizing the patient information providing the medical record data model.
The invention is further configured to: the information fusion preprocessing is used for composing data of texts, numerical values, images or signals in the medical record data model and classifying and sorting the data according to different attributes.
The invention is further configured to: the image data preprocessing is used for carrying out noise reduction, image treatment improvement or edge extraction processing on the image in the medical record data model.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the data model in the clinical database of the invention comes from the relevant traditional Chinese medicine data warehouse or from the data self-collected by the data writing module, and the self-collected data is input from the outside, the inferior medical record is removed step by step in the data preprocessing module, abnormal data in the medical record data is removed, the measurement unit in the standard compatibility, the traditional Chinese medicine terms are unified and normalized, anonymized and the image definition is processed, the data of each attribute in the medical record data model is classified and summarized, the primarily screened medical record data is transmitted to the data analysis model, the data analysis module can compare and analyze the data stored in the clinical database one by one according to the data classified by the attribute of the data preprocessing module to determine the rationality of each attribute data of the medical record data model, and the invention has extremely strong compatibility and integration when the clinical database is established and supplemented, and the accuracy and efficiency of diagnosis can be improved in practical application.
Drawings
FIG. 1 is a system diagram of an intelligent data processing and analyzing mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine;
FIG. 2 is a system diagram of a data preprocessing module in the intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine;
fig. 3 is a system diagram of a data analysis module in the intelligent data processing and analysis mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine.
In the figure: 1. a clinical database; 2. a data preprocessing module; 3. a data analysis module; 4. a data writing module; 5. a data modeling module; 6. a data evaluation module; 7. an application module; 8. a data modification module; 20. a data cleaning module; 21. a data integration module; 22. a data conversion module; 23. a data reduction module; 30. a Chinese medicine symptom analysis module; 31. a traditional Chinese medicine compatibility analysis module; 32. a disease diagnosis analysis module; 33. a traditional Chinese medicine literature analysis module; 34. medical image analysis module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be further described with reference to the following examples.
Example 1
Referring to fig. 1-3, an intelligent data processing and analyzing mining system for clinical diagnosis and treatment of traditional Chinese medicine syndromes comprises:
a clinical database 1, wherein the clinical database 1 is used for storing data from a related traditional Chinese medicine data warehouse or self-collection;
the data preprocessing module 2 is used for performing corresponding data preprocessing on various data before data mining analysis so as to ensure that valuable data are obtained;
the data analysis module 3 is used for preliminarily determining data attributes and record sets required by data mining, and carrying out preliminary mining experiments on small-scale sampling from the original data sets;
the data writing module 4 is used for directly storing an external data source into the clinical database 1 and has a data retrieval function;
the data modeling module 5 is used for determining the establishment of a data model through a mining algorithm, a training and inspection program;
the data evaluation module 6 is used for evaluating the data model established by the data modeling module 5 so as to determine that the data model is within the error range of the real data;
the application module 7 is used for storing the data model which is evaluated by the data evaluation module 6 in the clinical database 1 and applying the mined conclusion to clinical practice;
and the data modification module 8 is used for modifying or deleting the data model which is not passed after being evaluated by the data evaluation module 6, and importing the modified data model into the data modeling module 5 again.
The data model in the clinical database 1 is from the relevant traditional Chinese medicine data warehouse or from the data acquired by the data writing module 4, when the self-acquired data is input from the outside, the externally acquired medical record data model is firstly input into the medical record database 1 for preliminary storage, the data preprocessing module 2 correspondingly preprocesses the preliminarily stored medical record data model to classify and summarize the data of each attribute in the medical record data model and transmit the data to the data analysis module 3, the data analysis module 3 compares and analyzes the data classified according to the attribute of the data preprocessing module 3 with the data stored in the clinical database 1 one by one to determine the rationality of each attribute data of the medical record data model, and the analyzed data model is led into the data modeling module 5 for preliminary data modeling before storage, and after the data modeling is completed, the data modeling needs to pass through the data evaluation module 6 and the future data model in the clinical database 1 And contrast verification is carried out, when data are abnormal, the preliminary data modeling is adjusted and modified until the preliminary data are within the error range of the real data, and then the data model is imported into the clinical database 1 for storage, so that after a user inputs medical record data through the data writing module 4 in the later period, an auxiliary reference data model in the clinical database 1 can be obtained, and the accuracy and the speed of diagnosis are improved.
The data preprocessing module 2 comprises a data cleaning module 20, a data integration module 21, a data conversion module 22 and a data reduction module 23, wherein:
the data cleaning module 20 is configured to delete medical record model data that includes data loss, defect, or data correspondence inconsistency in clinical medical record data;
the data integration module 21 is used for uniformly classifying and sorting various data in the clinical medical record data;
the data conversion module 22 is used for uniformly converting the order of magnitude units of the prescription in the clinical medical record data to standardize the units of the data;
the data reduction module 23 is used for removing medical record model data of treatment schemes without diseases from clinical medical record data.
The data analysis model 3 comprises a Chinese medicine symptom analysis module 30, a Chinese medicine compatibility analysis module 31, a disease diagnosis analysis module 32, a Chinese medicine document analysis module 33 and a medical image analysis module 34, wherein:
the Chinese medicine symptom analysis module 30 is used for classifying the attributes of clinical symptoms;
the traditional Chinese medicine compatibility analysis module 31 is used for searching the relationship between clinical symptoms and compound formulas, the compatibility relationship of compound medicines and the interaction relationship between medicines and flavors;
the disease diagnosis analysis module 32 is used for diagnosing disease attributes through the symptoms obtained by the traditional Chinese medicine symptom analysis module 30;
the traditional Chinese medicine literature analysis module 33 is used for comparing and analyzing the disease symptoms, the disease diagnosis results and the treatment compatibility with a large amount of literature data in the field of traditional Chinese medicine;
medical image analysis module 34 is used to mine valid models, associations, rules, and general rules from the large volume of image data to aid diagnosis and treatment.
The data integration module 21 is also used for Chinese medicine term preprocessing, anonymization preprocessing, information fusion preprocessing and image data preprocessing;
the traditional Chinese medicine term preprocessing is used for reasonably and uniformly converting traditional Chinese medicine terms, and the description of a plurality of terms in the field of traditional Chinese medicine is fuzzy or inconsistent in expression due to factors such as history, geography, customs, language differences in various regions, personal description habits of doctors and the like, and the conditions of multiple words, one meaning or one word, multiple meanings and the like can occur, so that the traditional Chinese medicine terms need to be reasonably processed under the assistance of medical experts to ensure the accuracy of data mining results;
the anonymization preprocessing is used for anonymizing the patient information providing the medical record data model so as to ensure that the personal privacy of the patient providing the medical record data model is not leaked;
the information fusion preprocessing is used for composing data of texts, numerical values, images or signals in the medical record data model and classifying and sorting the data according to different attributes;
the image data preprocessing is used for carrying out noise reduction on images in the medical record data model, improving image treatment or edge extraction processing and ensuring the accuracy and reliability of the data information obtained by mining.
The data model in the clinical database 1 of the invention comes from the relevant traditional Chinese medicine data warehouse or from the data acquired by the data writing module 4, and the self-acquired data is input from the outside, firstly, the externally acquired medical record data model is input into the medical record database 1 for preliminary storage, the data preprocessing model 2 carries out corresponding preprocessing on the preliminarily stored medical record data model, the data preprocessing module 2 gradually removes inferior medical records, eliminates abnormal data in the medical record data, standardizes a metering unit in standard compatibility, unifies and normalizes Chinese medicine terms, carries out anonymization processing and image definition processing, classifies the data of each attribute in the medical record data model, transmits the preliminarily screened medical record data to the data analysis model 3, the data analysis module 3 carries out induction analysis with the data stored in the clinical database 1 one by one according to the data classified according to the attribute of the data preprocessing module 3, to determine the reasonability of each attribute data of the medical record data model, and to import the analyzed data model into the data modeling module 5 for preliminary data modeling before storage, after the preliminary data modeling is completed, the data modeling needs to be contrasted and verified with the data model of the previous period in the clinical database 1 through the data evaluation module 6, when data is abnormal, the preliminary data modeling is adjusted and modified until the preliminary data is in the error range of the real data, then the data model is imported into a clinical database 1 for storage, the intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine can obtain the auxiliary reference data model in the clinical database 1 after the medical record data is input by the data writing module 4 by later-stage users, not only when the clinical database 1 is established and supplemented, the method has strong compatibility and integration, and can improve the accuracy and efficiency of diagnosis in practical application.
Portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof, and in the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system, for example, if implemented in hardware, and in another embodiment, any one or a combination of the following techniques, as is known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (8)
1. The utility model provides an intelligent data processing and analysis excavation system is diagnose to clinical syndrome of traditional chinese medicine which characterized in that includes:
a clinical database (1), said clinical database (1) being for storing data from an associated warehouse of traditional Chinese medicine data or self-collected;
the data preprocessing module (2) is used for carrying out corresponding data preprocessing on various types of data before data mining analysis so as to ensure that valuable data are obtained;
the data analysis module (3) is used for preliminarily determining data attributes and record sets required by data mining, and carrying out preliminary mining experiments on small-scale samples in the original data sets;
the data writing module (4) is used for directly storing an external data source into the clinical database (1), and has a data retrieval function;
the data modeling module (5) is used for determining the establishment of a data model through a mining algorithm, a training and inspection program;
a data evaluation module (6), wherein the data evaluation module (6) is used for evaluating the data model established by the data modeling module (5) to determine that the data model is within the error range of the real data;
an application module (7), wherein the application module (7) is used for storing the data model evaluated by the data evaluation module (6) in a clinical database (1) and applying the mined conclusion in clinical practice;
the data modification module (8), the data modification module (8) is used for modifying or deleting the data model which is not passed after being evaluated by the data evaluation module (6), and importing the modified data model into the data modeling module (5) again.
2. The intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine according to claim 1, wherein the data preprocessing module (2) comprises a data cleaning module (20), a data integration module (21), a data conversion module (22) and a data reduction module (23), wherein:
the data cleaning module (20) is used for deleting medical record model data containing data loss, defect or inconsistent data correspondence in clinical medical record data;
the data integration module (21) is used for uniformly classifying and sorting various data in clinical medical record data;
the data conversion module (22) is used for uniformly converting the order of magnitude units of the prescription in the clinical medical record data to standardize the units of the data;
the data reduction module (23) is used for removing medical record model data without diseases and treatment schemes from clinical medical record data.
3. The intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine according to claim 1, wherein the data analysis model (3) comprises a traditional Chinese medicine syndrome analysis module (30), a traditional Chinese medicine compatibility analysis module (31), a disease diagnosis analysis module (32), a traditional Chinese medicine literature analysis module (33) and a medical image analysis module (34), wherein:
the Chinese medicine symptom analysis module (30) is used for carrying out attribute classification on clinical symptoms;
the traditional Chinese medicine compatibility analysis module (31) is used for searching the relationship between clinical symptoms and compound prescriptions, the compatibility relationship between compound medicines and the interaction relationship between medicines and flavors;
the disease diagnosis analysis module (32) is used for diagnosing disease attributes through the symptoms obtained by the traditional Chinese medicine syndrome analysis module (30);
the Chinese medicine literature analysis module (33) is used for comparing and analyzing the disease diagnosis result and treatment compatibility with a large amount of literature data in the field of traditional Chinese medicine;
the medical image analysis module (34) is used for mining effective models, associations, rules and general rules from a large amount of image data to assist diagnosis and treatment.
4. The intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine according to claim 2, wherein the data integration module (21) is further used for traditional Chinese medicine term preprocessing, anonymization preprocessing, information fusion preprocessing and image data preprocessing.
5. The intelligent data processing and analyzing and mining system for clinical syndrome diagnosis and treatment of traditional Chinese medicine according to claim 4, wherein the term preprocessing of traditional Chinese medicine is used for performing reasonable and unified standard conversion on the terms of traditional Chinese medicine.
6. The system of claim 4, wherein the anonymization pre-processing is used to anonymize patient information providing a medical record data model.
7. The intelligent data processing and analyzing and mining system for clinical medical syndrome diagnosis and treatment according to claim 4, wherein the information fusion preprocessing is used for classifying and sorting the data of texts, numerical values, images or signals in the medical record data model according to different attributes.
8. The system according to claim 4, wherein the image data preprocessing is used for denoising, improving image treatment or edge extraction processing of the image in the medical record data model.
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| CN114613491A (en) * | 2022-03-09 | 2022-06-10 | 曜立科技(北京)有限公司 | Diagnostic decision system for echocardiogram measurement results |
| CN114613491B (en) * | 2022-03-09 | 2022-09-06 | 曜立科技(北京)有限公司 | Diagnostic decision system for echocardiogram measurement results |
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