Suicide tendency and suicide behavior prediction method and system based on metabonomics data

A metabolomics data and suicidal tendency technology, which is applied in the field of suicidal tendency and suicidal behavior prediction based on metabolomics data, can solve problems such as strong subjectivity, and achieve the effect of solving excessive subjectivity and reducing detection costs.

Inactive Publication Date: 2021-06-04
NANJING BRAIN HOSPITAL
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Problems solved by technology

[0007] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a method and system for predi

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  • Suicide tendency and suicide behavior prediction method and system based on metabonomics data
  • Suicide tendency and suicide behavior prediction method and system based on metabonomics data
  • Suicide tendency and suicide behavior prediction method and system based on metabonomics data

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[0062] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0063] In order to better understand the above technical solutions, the following will describe exemplary embodiments of the present invention in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present invention can be more clearly and thoroughly understood, and the scope of the present invention can be fully conveyed to those skilled in the art.

[0064] see figure 1 , this embodiment provides a method for predicting suicide risk based on metabolomics data, the method comprising:

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Abstract

The invention relates to a suicide tendency and suicide behavior prediction method and system based on metabonomics data. The method comprises the following steps: S1, collecting metabolite data in blood of a to-be-detected user or data of a final metabolic biomarker of the to-be-detected user; the metabolite data comprises data of a plurality of metabolite categories; the data of the metabolite large class comprises data of various metabolites; the data of the final biomarker is data of preset metabolites; s2, recognizing the metabolite data of the to-be-detected user or the data of the final metabolic biomarker by adopting the final neural network classifier model, and determining a corresponding recognition result; the final neural network classifier model is a classifier model obtained after a preset initial neural network classifier model is trained by a preset metabolite data training sample.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to a method and system for predicting suicide tendency and suicide behavior based on metabolomics data. Background technique [0002] Suicide refers to the behavior of individuals deliberately or voluntarily adopting various means to end their own lives. It is one of the main causes of non-accidental deaths of adolescents worldwide and a social and public health problem of global concern. The total suicide rate in my country is 23.23 / 100,000, resulting in 280,000 deaths per year, has become the fifth cause of death among Chinese residents and the first cause of death among people aged 15 to 34, bringing serious social and economic burdens to the country, society and families . [0003] A large number of studies have shown that major depressive disorder (MDD), bipolar disorder (bipolar disorder, BD) and schizophrenia (Schizophrenia, SZ) are the three severe mental illne...

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Application Information

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IPC IPC(8): G06Q10/04G06N3/04G06N3/08
CPCG06Q10/04G06N3/08G06N3/045
Inventor 张锡哲王菲张然
Owner NANJING BRAIN HOSPITAL
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