Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting

Inpatient violence is a common and severe problem within psychiatry. Knowing who might become violent can influence staffing levels and mitigate severity. Predictive machine learning models can assess each patient's likelihood of becoming violent based on clinical notes. Yet, while machine lear...

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Veröffentlicht in:	arXiv.org 2022-05
Hauptverfasser:	Borger, Thomas, Mosteiro, Pablo, Kaya, Heysem, Rijcken, Emil, Albert Ali Salah, Scheepers, Floortje, Spruit, Marco
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Computers and Society Computer Science - Learning Machine learning Natural language processing Psychiatry Risk assessment Violence
Online-Zugang:	Volltext
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