Gene target therapy scheme recommendation system and related system

Abstract

The invention discloses a gene target therapy scheme recommendation system. The system comprises a case data cluster module, a similar case acquisition module, a neural network training module and a therapy scheme recommendation module, wherein the case data cluster module is used for classifying multiple case data according to molecular ecology network analysis to obtain multiple case sets, wherein case data comprise gene data and case feature data; the similar case acquisition module is used for screening cases according to similarity between the current case and each case set to obtain similar case sets; the neural network training module is used for neural network training according to the similar case sets and corresponding therapy schemes to obtain a scheme recommendation model; thetherapy scheme recommendation module is used for calculating the current case according to the scheme recommendation model to obtain a target therapy scheme. Useless data are reduced by screening andthe model accuracy is improved. The invention further discloses another gene target therapy scheme recommendation system with the benefits.

Description

technical field [0001] The present application relates to the technical field of medical data processing, in particular to a gene-targeted therapy recommendation system and another gene-targeted therapy recommendation system. Background technique [0002] With the continuous development of medical technology, cancer gene therapy has emerged for cancer. Simply put, it is to determine the cause of cancer through genes, that is, to determine the cancerous genes, and then use therapeutic methods to treat them in a targeted manner. At present, individual experts usually make decisions on treatment plans, or an expert system that condenses expert experience makes decisions on treatment plans. [0003] However, currently there are a large number of cancer-inducing genes known to induce cancer, and it is difficult to obtain an accurate causal relationship by directly analyzing the massive information. Moreover, the same cancer may be caused by multiple cancer genes. For example, co...

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Problems solved by technology

At the same time, there are different treatment options for each cancer gene, and each treatment option may have undiscovered therapeutic effects

[0004] In general, in the existing treatment plan recommendation system, due to the complexity of the patient's genetic testing data, each parameter does not only affect the decision-making of the treatment plan in one direction.

Therefore, not only the judgment of individual experts, but also the decision-making and judgment of the expert system, cannot determine the best treatment plan, which makes the treatment plan deviate

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