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Precise intelligent diagnosis and treatment big data system

A big data and intelligent technology, applied in the field of big data, can solve the problems of low level of information mining and utilization, insufficient support for scientific research, difficult search function of clinical medical database, etc., to achieve accurate prediction of drug effect and realize big data management Effect

Active Publication Date: 2019-04-09
TONGJI UNIV
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AI Technical Summary

Problems solved by technology

However, the electronic medical records of the existing medical system generally have defects such as scattered records, inconsistent formats, and difficulty in sharing, and the phenomenon of "information islands" is serious; The information cannot be fully extracted, resulting in a lot of waste; finally, the information construction of most hospitals is mainly focused on medical business management, and the support for scientific research is insufficient. Integrating into medical ontology language for structured extraction of information
These problems limit the realization of clinical medical database in clinical decision support system and clinical trial system

Method used

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  • Precise intelligent diagnosis and treatment big data system

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Embodiment

[0039] Such as figure 1 As shown, a precision intelligent diagnosis and treatment big data system includes:

[0040] Data Centralized Management Module 1: Centralized management of clinical electronic medical record data and omics data of multiple medical institutions;

[0041] Data preprocessing module 2: Preprocess the centralized management data and establish a relational dependency network based on biomedical characteristics;

[0042] Marker extraction module 3: Based on the preprocessed data, extract the characteristic genes of the patient to obtain the marker set;

[0043] Subtype classification module 4: classify the patient by subtype and determine the group corresponding to the patient;

[0044] Drug response prediction module 5: Establish a drug response prediction model, and predict the patient's response to different drugs based on the drug response prediction model.

[0045] 1. Data centralized management module 1

[0046] Based on the i2b2, SCILHS / SHRINE data sharing mechan...

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Abstract

The invention relates to a precise intelligent diagnosis and treatment big data system which comprises a centralized data management module, a data preprocessing module, a marker extraction module, asubtype classification module and a medicine reaction prediction module, wherein the centralized data management module is used for centrally managing clinical electronic medical history data and omics data of multiple medical institutes; the data preprocessing module is used for preprocessing the centrally managed data and used for establishing a relationship dependency net on the basis of biomedicine characteristics; the marker extraction module is used for extracting characteristics genes of patients to obtain marker sets on the basis of preprocessed data; the subtype classification moduleis used for classifying subtypes of the patients and used for confirming corresponding groups of the patients; the medicine reaction prediction module is used for establishing medicine reaction prediction models and used for predicting reactions of the patients upon different medicines according to the medicine reaction prediction models. Compared with the prior art, the system is capable of achieving effective management on medical data and medicine reaction prediction, and intelligentization can be achieved.

Description

Technical field [0001] The invention relates to the technical field of big data, in particular to a big data system for precise and intelligent diagnosis and treatment. Background technique [0002] In 2015, the number of cancer patients and deaths in my country reached 4.292 million and 2.814 million, accounting for 22% and 27% of the world's population. Cause huge social burden and economic loss. Lung cancer and breast cancer are the cancer types with the largest number of men and women in my country. Due to the heterogeneity and variability of cancer and other diseases, the effective rate of cancer drugs is only 25%, and personalized precision medicine has become the only way to further overcome cancer. [0003] "Precision medicine" refers to a customization that is based on personal genome information, combined with proteome, metabolome and other relevant internal environment information, to tailor the best treatment plan for the patient, in order to maximize the therapeutic ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/10G16H50/20G16H50/70
CPCG16H20/10G16H50/20G16H50/70
Inventor 周小波
Owner TONGJI UNIV
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