Predicting survival factor following suicide attempt in Iran: an ensemble machine learning technique

This study offers important insights into the factors influencing survival after suicide attempts in Iran. It underscores the promising role of ML technique in mental health research. The findings also may guide personalized mediation to enhance support for at-risk populations.

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Publication Details

Journal
BMC Psychiatry
Published
2025-08-28
DOI
https://doi.org/10.1186/s12888-025-07241-0
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting survival factor following suicide attempt in Iran: an ensemble machine learning technique

Najmul Hasan, Zohreh Hosseini Marznaki, Aliasghar Manouchehri, Shiv Kumar Mudgal et al.
BMC Psychiatry
Suicide and Self-Harm Studies
article

Predicting survival factor following suicide attempt in Iran: an ensemble machine learning technique

Najmul Hasan, Zohreh Hosseini Marznaki, Aliasghar Manouchehri, Shiv Kumar Mudgal, Melissa Abadi
article en

Abstract

This study offers important insights into the factors influencing survival after suicide attempts in Iran. It underscores the promising role of ML technique in mental health research. The findings also may guide personalized mediation to enhance support for at-risk populations.

BMC PsychiatryVol. 25(1)
All India Institute of Medical Sciences, Deoghar (IN), BRAC University (BD), Babol University of Medical Sciences (IR), Mazandaran University of Medical Sciences (IR)
Gender equality
Openalex Percentile: Top 69%
Suicide and Self-Harm Studies
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Predicting survival factor following suicide attempt in Iran: an ensemble machine learning technique — Najmul Hasan, Zohreh Hosseini Marznaki, et al. · BMC Psychiatry (2025) | TGRS Research Map | TGRS