Chronic-disease personalized precise medication guiding method and system

A technology for precision medicine and chronic diseases, applied in the field of machine learning, can solve problems such as the limited role of doctors' guidance

Inactive Publication Date: 2019-02-19
上海金仕达卫宁软件科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the implementation of the PASS system is based on the knowledge characteristics of the drug itself, and analyzes the contraindications and rationality of the doctor's prescription in the form of rules. It does not realize individualization and comprehensiveness from different angles within a reasonable ra

Method used

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  • Chronic-disease personalized precise medication guiding method and system
  • Chronic-disease personalized precise medication guiding method and system
  • Chronic-disease personalized precise medication guiding method and system

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Experimental program
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Embodiment 1

[0021] The method for instructing personalized and precise medication for chronic diseases in this embodiment includes:

[0022] Disassemble the factors that affect the efficacy, safety, economy, and tolerance of patients' medication;

[0023] Classify the characteristics of the population for each disassembled factor;

[0024] Refer to evidence-based medical materials to formulate unified quantitative standards for all factors, and then score the characteristics of different populations under different factors;

[0025] For an actual chronic disease patient, the population characteristics of each factor are characterized, and the corresponding mean value and suitability are calculated according to the corresponding scores, and the drugs with high curative effect and safety are obtained for the patient.

[0026] Further, the specific method for calculating the corresponding average value and suitability according to the corresponding scores includes: calculating the average v...

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PUM

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Abstract

The invention discloses a chronic-disease personalized precise medication guiding method and system. The method and the system are designed in order to realize a virtual reality simulation environmentunder a remote condition. The chronic-disease personalized precise medication guiding method comprises the following steps of predetermining a plurality of factors affecting the medication efficacy,the safety, the economy, and the tolerance of a patient, and presetting the quantitative criteria of each factor; carrying out crowd characteristic classification on each factor, and scoring crowds with different characteristic classifications under the different factors; and carrying out the crowd characteristic qualitative performance of each factor on the patient, and carrying out correspondingmean value and suitability degree calculation according to corresponding scores, and obtaining a drug with high efficacy and safety for the patient. In the invention, a guiding advice on the suitability of the drug for the patient is provided, and a reference and an application basis are provided for the assistant research and realization of other medical intelligent decisions.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a method and system for instructing personalized and precise medication for chronic diseases. Background technique [0002] In the current field of medical information-based intelligent assisted diagnosis and treatment, the PASS (Prescription Automatic Screening System) system for doctors’ rational drug use guidance has generally realized the rationality review guidance for doctors’ prescriptions in terms of usage and dosage, contraindications, interactions, and incompatibility. , providing a basic guarantee for safe and rational drug use. However, the implementation of the PASS system is based on the knowledge characteristics of the drug itself, and analyzes the contraindications and rationality of the doctor's prescription in the form of rules. It does not realize individualization and comprehensiveness from different angles within a reasonable range according to the patient's c...

Claims

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Application Information

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IPC IPC(8): G16H70/20G16H70/40
CPCG16H70/20G16H70/40
Inventor 赵孟海冯贞贞
Owner 上海金仕达卫宁软件科技有限公司
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