Exploring suicidal thoughts among prospective university students: a study with applications of machine learning and GIS techniques

Exploring suicidal thoughts among prospective university students: a study with applications of machine learning and GIS techniques

Abstract Background Prospective university students are regarded as highly vulnerable to psychological issues, including suicide. Despite the complexity of suicidal behaviors, innovative methodologies like Geographic Information System (GIS) mapping and Machine Learning have not been fully explored...

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Bibliographic Details
Main Authors: Mohammed A. Mamun, Firoj Al-Mamun, Md Emran Hasan, Nitai Roy, Moneerah Mohammad ALmerab, David Gozal, Md. Shakhaoat Hossain
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Psychiatry
Subjects:
Suicidal behavior
University students
Spatial analysis
Machine learning
CatBoost
Predictive modeling
Online Access:https://doi.org/10.1186/s12888-025-07188-2
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https://doi.org/10.1186/s12888-025-07188-2

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