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AUTOMATIC DETECTION OF MENTAL HEALTH CONDITION AND PATIENT CLASSIFICATION USING MACHINE LEARNING
AUTOMATIC DETECTION OF MENTAL HEALTH CONDITION AND PATIENT CLASSIFICATION USING MACHINE LEARNING
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机译:使用机器学习自动检测心理健康状况和患者分类
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摘要
Methods and systems are provided for detecting a mental health condition. Structured and unstructured information is analyzed using natural language processing to extract information including clinical data values and medical concepts pertaining to a user. Reference medical information is evaluated using natural language processing to correlate medical data with mental health conditions. A classification for a mental health condition of the user is determined using a machine learning model and based on the extracted information and correlations, wherein the extracted information includes blood analysis for the user. The user is assigned to a segment of users based on the extracted information. A treatment for the mental health condition of the user is indicated based on the classification and the assigned segment of users.
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