Terminal equipment and device, disease classification method and readable storage medium

Abstract

The embodiment of the invention provides terminal equipment and device, a disease classification method and a readable storage medium, and is applied to the field of medical science and technology. The terminal equipment comprises a communication interface, a processor and a memory, wherein the processor is configured to: call a program instruction in the memory to receive a disease classificationrequest carrying identity information of a target user through the communication interface; acquire gene data of the target user from a memory based on the identity information, wherein the gene datacomprises a gene set and expression quantity data of each gene in the gene set; call the trained target disease classification model to perform data analysis on the expression quantity data of each gene in the gene set; determine the target disease type to which the target user belongs. The disease type to which the target user belongs can be accurately determined, and the method and the device relate to a block chain technology, for example, gene data of the target user can be written into a block chain to be used for scenes such as the target disease type to which the target user belongs.

Description

technical field [0001] The present application relates to the field of intelligent decision-making, and is specifically applied in the field of medical science and technology, and particularly relates to a terminal device, a device, a disease classification method, and a readable storage medium. Background technique [0002] At present, with the development of medical technology, there are more and more ways to classify a certain disease. For example, there are two common ways to classify this cancer (understood as the classification of cancer). The first way is to integrate multiple The omics data is screened for features, and machine learning models, such as support vector machines, decision trees, etc., are built to classify the cancer through a single gene. The second method is to establish part of the regulatory information of the regulatory network between genes based on the relationship between certain genes, so as to realize the cancer type, but the above two methods...

AI Technical Summary

Problems solved by technology

The second method is to establish part of the regulatory information of the regulatory network between genes based on the relationship between certain genes, so as to realize the cancer type, but the above two methods cannot guarantee that a certain patient can be accurately judged Type of disease

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