Gene network analysis-based disease subtype prediction system

Abstract

The invention relates to a gene network analysis-based disease subtype prediction system. The system is divided into the following three modules: a data acquisition and preprocessing module; a patientclassification and disease subtype prediction module; and a result display module; the patient classification and disease subtype prediction module includes a gene network gene node vectorization sub-module, a disease patient vectorization sub-module, and a disease subtype prediction sub-module.

Description

technical field [0001] The invention relates to a disease subtype prediction system based on gene network analysis and machine learning methods. Background technique [0002] The Ministry of Health once conducted a survey on office workers in 10 cities, and found that 48% of them were in a sub-healthy state, and traditional treatment programs showed that the inefficiency of tumors was as high as 75%, that of diabetes was 43%, and that of depression was also ineffective. 38%. According to statistics, the economic loss caused by diseases in my country is as high as more than 1.4 trillion yuan every year, which is equivalent to consuming more than 14% of my country's total GDP every year. Therefore, it is particularly important to efficiently predict the type of disease that may be suffered, laying the foundation for timely treatment. [0003] With the development of large-scale biological sample databases, powerful genomics and medical technology, people gradually realize th...

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Problems solved by technology

However, there is no solution for combining gene network and machine learning to solve disease subtype prediction, nor has a disease subtype prediction system based on gene network analysis been established.

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