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Updated: Feb 19, 2026

An R-Based Landscape Validation of a Competing Risk Model
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通过机器学习模型的激光回归来预测自杀再尝试的预测模型:单个与多个自杀企图相比

Natalia Roberto1, Michele De Prisco2, Jorge Andreo-Jover3

  • 1Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), Catalonia, Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.

Journal of affective disorders
|February 17, 2026
PubMed
概括

以前的自杀企图是未来自杀企图的强有力的预测因素. 机器学习模型确定了关键的风险因素,包括特定的精神病诊断,以预测西班牙一大群人中再次尝试自杀的情况.

关键词:
二极性障碍II型,精神分裂症,过度饮食障碍等.机器学习是机器学习.预测 预测 预测自杀未遂者 自杀未遂者

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