Clinical data mining analysis and aided decision-making method based on Internet integrated medical platform
A clinical data and auxiliary decision-making technology, applied in medical data mining, medical automated diagnosis, computer-aided medical procedures, etc., can solve problems such as effective use of medical data constraints
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Embodiment 1
[0123] Example 1: Analysis and Mining of Hyperthyroidism Clinical Data
[0124] Hyperthyroidism clinical data analysis and mining realizes multidimensional analysis, association analysis and cluster analysis of clinical data of hyperthyroidism. The clinical data of hyperthyroidism come from the real clinical medical data of the multi-center clinical big data platform. The overall architecture of clinical data analysis and mining of hyperthyroidism is as follows: figure 2 As shown, it is mainly divided into four layers, namely data source layer, data layer, analysis layer and application layer. The data is loaded into HANA from the original data set through ETL and other preprocessing processes, and then the analysis tools are combined with relevant analysis algorithms to achieve relevant analysis purposes.
[0125] Data sources: This level corresponds to raw data and is the main database that stores structured data. It includes basic information form, medical record form, ...
Embodiment 2
[0131] Example 2: Diabetes clinical data analysis and mining
[0132] Diabetes clinical data analysis and mining realizes multidimensional analysis, correlation analysis and time series mining of diagnostic events for clinical data of diabetes. Diabetes clinical data comes from the real clinical medical data of the integrated system platform.
[0133] According to the function of diabetes clinical data analysis application system, image 3 It is a hierarchical structure diagram of the system, which mainly has three functional modules. The first module is the data preprocessing module, because different analysis requirements will require data of different structures, the clinical diabetes database is processed to obtain the data required for multidimensional analysis and time series analysis; the second module is the diabetes multidimensional analysis module, Multidimensional analysis is one of the core modules of the analysis and processing layer. The multidimensional analys...
Embodiment 3
[0150] Example 3: Analysis and Mining of Clinical Data of Thyroid Nodules
[0151] The clinical data analysis and mining of thyroid nodules realizes the multidimensional analysis, disease classification and discrimination of benign and malignant of clinical data of thyroid nodules. The clinical data of thyroid nodules come from the real clinical medical data of the clinical data platform.
[0152] Figure 4 It is the overall architecture diagram of clinical data analysis and mining of thyroid nodules. It can be seen from the figure that clinical data analysis and mining of thyroid nodules are mainly composed of three parts: input module, training module, prediction and display module, among which the data preprocessing part belongs to the basic module of the system , which is not visible to the user. Users provide raw data, use structured tools or technologies to obtain data formats that can be recognized by the model, then use machine learning algorithms to build models, se...
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