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

Abstract 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 S...

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Bibliographic Details
Main Authors: Seung Il Song, Hyeon Taek Hong, Changwoo Lee, Seung Bo Lee
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-19828-8