Predicting suicidal and self-injurious events in a correctional setting using AI algorithms on unstructured medical notes and structured data

Suicidal and self-injurious incidents in correctional settings deplete the institutional and healthcare resources, create disorder and stress for staff and other inmates. Traditional statistical analyses provide some guidance, but they can only be applied to structured data that are often difficult...

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Veröffentlicht in:	Journal of psychiatric research 2023-04, Vol.160, p.19-27
Hauptverfasser:	Lu, Hongxia, Barrett, Alex, Pierce, Albert, Zheng, Jianwei, Wang, Yun, Chiang, Chun, Rakovski, Cyril
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Class imbalance Databases, Factual Deep learning Humans Machine Learning NLP Prisons Suicidal and self-injurious events Suicidal Ideation Under sampling
Online-Zugang:	Volltext
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