Spirit inhibition medicine recommendation method and system based on mental disorder subtype classification

A technology for mental disorders and recommended methods, applied in the field of medicine, can solve problems such as confusion of classification logic, lack of classification standards, and inability to predict patient response to treatment, etc., and achieve good generalization, improved classification accuracy, and high stability

Active Publication Date: 2018-08-17
FUDAN UNIV
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Problems solved by technology

Taking schizophrenia as an example, the current classification logic is relatively confusing, and there is no unified classification standard in the academic community. In the latest version of the Diagn

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  • Spirit inhibition medicine recommendation method and system based on mental disorder subtype classification
  • Spirit inhibition medicine recommendation method and system based on mental disorder subtype classification
  • Spirit inhibition medicine recommendation method and system based on mental disorder subtype classification

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Embodiment Construction

[0040] The present invention is based on the Positive and Negative Symptom Scale (PANSS) of the first episode of schizophrenia collected by the China Antipsychotic Genomic Medicine Association. Contains 30 index components and 843 cases. 687 of the 843 cases had been treated with antipsychotic drugs for a period of 6 weeks. During the six weeks, each patient was (randomly) assigned an antipsychotic drug among several mainstream drugs and used it at the recommended dose. After 6 weeks, the Positive and Negative Symptom Scale assessment was performed again.

[0041] The present invention adopts the maximum modularization method to divide the community structure to carry out the bi-clustering subtype classification algorithm based on the assessment data of the Mental Disorder Scale. Specific steps are as follows:

[0042] First, the dependency network G=[V,W] is defined by the previous method. in, Separate the positive and negative elements of W and denote them as W ± , th...

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Abstract

The invention belongs to the technical field of medicines, and particularly relates to a spirit inhibition medicine recommendation method and system based on mental disorder subtype classification. The technology of artificial intelligence and machine learning is adopted, and data mining and analysis are carried out on data of a mental disorder diagnosis and treatment scale, and classifying the given mental disorder. The method specifically comprises the steps of evaluating double-cluster subtype classification of the data based on the mental disorder quantity table, establishing a post-treatment evaluation prediction model by using the machine learning algorithm and the scale data before treatment, analyzing and recommending the schizophrenia medicine, preliminarily judging each schizophrenia patient and disease, dividing the subtype according to the table grading data and the patient information, respectively executing an evaluation and prediction model for each candidate medicine according to the scale index component data and the basic information of the patient, and taking the medicines which allows entering into an optimal-effect subtype after treatment and/or medicines withthe maximum reduce total value of the scale as recommended medicines. The accurate and objective disease-assisted diagnosis and treatment can be realized, and the curative effect is improved.

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 disorders have become common diseases, and more than 1 / 3 of Europeans are troubled by mental disorders to a certain extent, and the incidence rate 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...

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Application Information

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IPC IPC(8): G16H50/70G16H50/20G16H20/10
CPCG16H20/10G16H50/20G16H50/70
Inventor 冯建峰卢文联万林马亮岳伟华
Owner FUDAN UNIV
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