A machine learning approach for predicting suicidal ideation in post stroke patients

Currently, the identification of stroke patients with an increased suicide risk is mainly based on self‐report questionnaires, and this method suffers from a lack of objectivity. This study developed and validated a suicide ideation (SI) prediction model using clinical data and identified SI predict...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Seung Il, Hong, Hyeon Taek, Lee, Changwoo, Lee, Seung Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508242/
https://www.ncbi.nlm.nih.gov/pubmed/36151132
http://dx.doi.org/10.1038/s41598-022-19828-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508242/
https://www.ncbi.nlm.nih.gov/pubmed/36151132
http://dx.doi.org/10.1038/s41598-022-19828-8

Ejemplares similares