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

Pending Publication Date: 2019-05-31
SHANGHAI TRIMAN INFORMATION & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the information sharing between hospitals and between hospitals and outside hospitals has not been opened up, and the problem of information islands is obvious, which has brought a certain degree of restriction to the effective use of medical data, and the originally promising user health data has become useless.

Method used

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  • Clinical data mining analysis and aided decision-making method based on Internet integrated medical platform
  • Clinical data mining analysis and aided decision-making method based on Internet integrated medical platform
  • Clinical data mining analysis and aided decision-making method based on Internet integrated medical platform

Examples

Experimental program
Comparison scheme
Effect test

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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Abstract

The invention discloses a clinical data mining analysis and aided decision-making method based on an Internet integrated medical platform, and relates to the technical field of an Internet medical platform. The clinical data mining analysis and aided decision-making method includes data mining analysis and aided decision-making, wherein data mining analysis includes a multidimensional analysis algorithm module, a data mining algorithm module and a deep learning algorithm module; and aided remote decision-making includes four parts: a prediction module based on index parameters, a prediction module based on inspection report texts, a model training module and a structurized module. The clinical data mining analysis and aided decision-making method based on an Internet integrated medical platform selects several diseases as research objects for data collection and analysis, such as hyperthyroidism, diabetes, thyroid nodules and breast tumors, and collects and integrates clinical medicaldata depended the integrated platform to realize data mining analysis and aided decision-making services for clinical data diseases, such as hyperthyroidism, diabetes, thyroid nodules and breast tumors, so as to provide systematic support for clinical diagnosis of clinicians and disease research by researchers.

Description

technical field [0001] The invention relates to the technical field of Internet medical platforms, and more specifically refers to a clinical data mining analysis and auxiliary decision-making method based on an Internet-based integrated medical platform. Background technique [0002] As an important resource, big data has penetrated into every industry and department to varying degrees. Its in-depth application not only helps the business activities of each unit, but also helps promote the development of the national economy. "Internet +" is the achievement and symbol of the deep integration of industry and informatization in various countries, and it is also an important starting point for further promoting information consumption. The so-called "Internet +" means "Internet + various traditional industries", but this is not a simple addition of the two, but the use of information and communication technology and the Internet platform to deeply integrate the Internet and tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16H50/20
Inventor 高建强赵戈徐龙章
Owner SHANGHAI TRIMAN INFORMATION & TECH
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