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Drug curative effect multi-index evaluation method based on Bayesian network and three-dimensional mathematical model

A Bayesian network, mathematical model technology, applied in the field of bioinformatics

Pending Publication Date: 2020-10-30
吴嘉瑞
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Problems solved by technology

Existing methods can only perform dual-index clustering evaluation

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  • Drug curative effect multi-index evaluation method based on Bayesian network and three-dimensional mathematical model
  • Drug curative effect multi-index evaluation method based on Bayesian network and three-dimensional mathematical model
  • Drug curative effect multi-index evaluation method based on Bayesian network and three-dimensional mathematical model

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Embodiment Construction

[0043] In order to make the object, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0044] Please refer to figure 1 , which is figure 1 It is a schematic flow chart of a multi-index evaluation method for drug efficacy based on Bayesian network and three-dimensional mathematical model provided by the embodiment of the present invention. As shown in the figure, the method includes the following steps:

[0045] S1. Collect the original experimental data for evaluation of d...

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Abstract

The embodiment of the invention provides a drug curative effect multi-index evaluation method based on a Bayesian network and a three-dimensional mathematical model. The method comprises the followingsteps: firstly, acquiring original experimental data of an evaluation drug according to a preset template, and preprocessing the original experimental data to obtain final experimental data for evaluation; carrying out heterogeneity analysis on the final experimental data, and respectively processing the final experimental data based on heterogeneity to obtain a Meta analysis evidence relation graph; calculating the relative sorting of the drug efficacy based on a multi-dimensional Bayesian model, and obtaining the area value under the cumulative sorting probability graph according to the relative sorting; and finally, performing multi-dimensional clustering on the drug efficacy based on the area value under the cumulative sorting probability graph to finish classification of the drug efficacy. According to the technical scheme, the blank in the aspect of drug efficacy evaluation based on a Bayesian method and clustering analysis under multi-outcome indexes is filled up, so that the evaluation and classification result of the drug efficacy is more accurate and more referential.

Description

【Technical field】 [0001] The invention relates to the technical field of biological information, in particular to a multi-index evaluation method for drug efficacy based on a Bayesian network and a three-dimensional mathematical model. 【Background technique】 [0002] In the field of drug clinical evaluation, the comprehensive analysis of RCT data is an important evaluation method. Since RCTs are mostly clinical trials comparing two drugs, the comprehensive comparison of the efficacy of multiple drugs for the same disease has always been a bottleneck in the medical field. Existing methods can only perform dual-index clustering evaluation. Based on the accurate collection of drug RCT test data, this patent uses Bayesian network and three-dimensional mathematical model as the core technology and meta-analysis as the basic technology to comprehensively present the multi-indicator clustering and comparison results among various drugs, providing a basis for clinical evaluation of ...

Claims

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Application Information

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IPC IPC(8): G16H10/40G16H50/70G06K9/62G06N7/00
CPCG16H10/40G16H50/70G06N7/01G06F18/2321G06F18/2415
Inventor 吴嘉瑞姜迪王苗苗张冰
Owner 吴嘉瑞
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