Antipsychotic drug recommendation method and system based on subtype classification of mental disorders

Abstract

The invention belongs to the technical field of medicine, and specifically relates to a method and system for recommending antipsychotic drugs based on subtype classification of mental disorders. The present invention uses artificial intelligence and machine learning technology to classify given mental disorders through mining and analysis of mental disorder diagnosis and treatment scale data; the present invention specifically includes: bi-clustering subtype classification based on mental disorder scale evaluation data ; Use machine learning algorithms and scale data before treatment to establish a post-treatment evaluation prediction model; Drug analysis recommendation for schizophrenia: For each schizophrenia patient and initial disease judgment, use the scale scoring data and patient information to divide its subtype; according to the patient's scale index component data and the patient's basic information, the evaluation prediction model is executed for each candidate drug; the drug that can enter the superior subtype and / or the total score of the scale is reduced the most after treatment is used as Drugs are recommended. The invention can realize accurate and objective auxiliary diagnosis and treatment for diseases and improve curative effect.

Description

technical field [0001] The invention belongs to the technical field of medicine, and in particular relates to an artificial intelligence-based medicine recommendation method and system. Background technique [0002] Mental disorders, including schizophrenia, depression, anxiety, bipolar disorder, and Alzheimer's disease, have become the biggest challenge to human health in the 21st century, with huge economic and social burdens. According to the report of "European Journal of Psychopharmacology" in 2011, mental disorder has become a common disease, and more than 1 / 3 of Europeans are troubled by mental disorder to a certain extent, and the incidence of schizophrenia has reached 0.5%-1%. The economic expenditure on neurological disorders is close to 800 billion euros. [0003] Our society is also facing prominent brain health problems accompanied by rapid economic development. Especially in modern metropolises like Shanghai, increased social pressure induces emotional and co...

AI Technical Summary

Problems solved by technology

Taking schizophrenia as an example, the current classification logic is rather confusing, and there is no unified classification standard in the academic community. In the latest version of the Diagnostic and Statistical Manual of Mental Disorders DSM-5, it was found that the current subtype classification cannot predict the patient's Treatment response, declassification of subtypes of schizophrenia

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