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Adolescent, Hospitalized

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Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records.

PloS one 30779800
OBJECTIVE: The rapid proliferation of machine learning research using electronic health records to classify healthcare outcomes offers an opportunity to address the pressing public health problem of adolescent suicidal behavior. We describe the devel...
Adolescent Adolescent Behavior Adolescent, Hospitalized Algorithms Child Electronic Health Records Female Humans Machine Learning Male Massachusetts Natural Language Processing Psychiatric Department, Hospital Psychology, Adolescent Suicidal Ideation Suicide, Attempted Young Adult
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