Psychosis high-risk identification model based on extreme gradient boosting algorithm

A recognition model and psychosis technology, applied in the field of high risk identification of mental illness, can solve the problem that the high risk identification model of mental illness has not been reported, and achieve the effect of reducing the burden on families and society and improving the recognition rate.

Pending Publication Date: 2020-02-28
SHANGHAI TONGJI HOSPITAL
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Problems solved by technology

[0005] But a kind of high-risk recognition model of psychosis based on extreme

Method used

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  • Psychosis high-risk identification model based on extreme gradient boosting algorithm
  • Psychosis high-risk identification model based on extreme gradient boosting algorithm
  • Psychosis high-risk identification model based on extreme gradient boosting algorithm

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Embodiment 1

[0043] Please refer to the attached figure 1 , with figure 1 is a schematic plan view of a high-risk identification model for mental illness based on the extreme gradient boosting algorithm of this embodiment. The high-risk identification model for mental illness (100) includes establishing a high-risk identification model for mental illness (101) and using the established model to identify high-risk psychosis (102);

[0044] Please refer to the attached figure 2 , with figure 2 It is a schematic plan view of the process of establishing a high-risk identification model for psychosis based on an extreme gradient boosting algorithm in this embodiment.

[0045] The described establishment of high-risk identification model for mental illness (101) is divided into:

[0046] The data obtained for the screening tool are training features (1011), training feature normalization (1012), XGBoost model training (1013), feature brushing (1014), and feature reduction (1015);

[0047]...

Embodiment 2

[0053] A total of 50 items were used in college students using self-made questionnaires (including prodromal prodromal status questionnaire short version (PQ-B), schizotypal personality disorder diagnostic questionnaire (PQD-SPD), self-made 19-item negative symptom questionnaire and 1 item of family genetic history questions such as Figure 4 ) surveyed 7391 subjects. According to the three-stage program of high-risk screening for mental illness, college students with high-risk mental illness were diagnosed: in the first stage, all survey subjects completed online or paper questionnaires, and the scores of each item in the self-made questionnaire and the total score of each subscale were counted; in the second stage In the first phase, participants with a distress score of more than 24 on the PQ-B further completed a telephone assessment, which included the positive symptom subscale of the Prodrome Structured Interview (SIPS) scale; in the third phase, trained The researchers...

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Abstract

The invention relates to a psychosis high-risk identification model based on an extreme gradient boosting algorithm. A method comprises the steps: establishing a psychosis high-risk identification model and identifying psychosis high-risk condition by utilizing the established model, wherein the step of establishing the psychosis high-risk identification model comprises the substeps: obtaining thedata of a screening tool as training features, normalizing the training features, training an XGBoost model, screening the features and simplifying the features; the step of identifying the psychosishigh-risk condition by using the established model comprises the following substeps: acquiring screening data of a subject, extracting specified features, and sending the specified features to the established identification model for identification. The method has the advantages that the schizophrenia is a severe mental disease, and the social function of a patient suffering from the schizophrenia is severely reduced, and even severe patients often have impulsion, self-injury, injury and other behaviors, so the establishment of the schizophrenia high-risk identification model improves the identification rate of the schizophrenia high-risk identification model, facilitates the early diagnosis and intervention of the schizophrenia patient, and reduces family and social burdens.

Description

technical field [0001] The invention relates to the technical field of high-risk identification of mental illness, in particular, a high-risk identification model of mental illness based on an extreme gradient lifting algorithm. Background technique [0002] The early identification and treatment rates of schizophrenia are low, and there is a lack of effective objective indicators for early identification, and the clinical course of patients is often protracted. This patent will focus on the development and application of new technologies for high-risk detection of schizophrenia, carry out epidemiological investigations of the prodromal period of schizophrenia, discover the characteristics of the prodromal period, and integrate it into a specific inspection toolkit to promote the identification of the prodromal period of schizophrenia. [0003] Chinese patent document: CN109509552A, publication date: 2019.03.22, discloses an automatic identification method for mental illness...

Claims

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Application Information

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IPC IPC(8): G16H50/50G16H50/70
CPCG16H50/50G16H50/70
Inventor 陆峥孙杳如龙翔云王子剑刘飞齐安思吴佳馨管晓枫
Owner SHANGHAI TONGJI HOSPITAL
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