Diagnostic accuracy of machine learning approaches for suicide‑related outcomes: a meta‑analysis

Abstract Objective This diagnostic test accuracy meta-analysis aimed to provide clinically interpretable estimates (sensitivity, specificity, likelihood ratios (LR), predictive value (PV) and post‑test probabilities) for machine‑learning (ML) models predicting suicide‑related outcomes. Methods A sys...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Parisa Kohnepoushi, Maryam Afraie, Hamza Rahmani, Seyedeh Asrin Seyedoshohadaei, Babak Ghadirzadeh, Yousef Moradi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-05-01
coleção:	Annals of General Psychiatry
Assuntos:	Machine learning Suicidal ideation Suicide attempts Suicide mortality Diagnostic accuracy Meta-analysis
Acesso em linha:	https://doi.org/10.1186/s12991-026-00671-4
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!