Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients.
Journal:
BMC geriatrics
PMID:
40346469
Abstract
BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly population being particularly vulnerable. Research into suicide risk factors among elderly inpatients with non-psychiatric disorders remains limited. This investigation focused on crafting a machine learning-based prediction model for suicidal ideation (SI) in this population to aid suicide prevention efforts in general hospitals.