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Updated: Jun 19, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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在美国七个城市的无家可归的年轻成年人中,使用可解释机器学习预测亲密伴侣暴力的行为

Mee Young Um1, Lydia Manikonda2, Doncy J Eapen3

  • 1Arizona State University, Phoenix, AZ, USA.

Journal of interpersonal violence
|July 24, 2024
PubMed
概括

在无家可归期间遭受亲密伴侣暴力 (IPV) 的受害者是无家可归的年轻成年人中IPV犯罪的关键预测因素. 干预措施应应对这种暴力循环和歧视等相关因素.

关键词:
无家可归 没有家可归亲密伴侣暴力 亲密伴侣暴力机器学习是机器学习.犯罪行为是犯罪行为.预测 预测 预测 预测年轻的成年人年轻的成年人

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