A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM

A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM

Suicide, a global health challenge identified in Goal 3 of the global agenda for enhancing worldwide well-being, demands urgent attention. This study focused on predicting suicidal thoughts using machine learning, leveraging the 2021 National Women's Life Experience Survey (SPHPN) involving wom...

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Bibliographic Details
Main Authors: Sarni Maniar Berliana, Omas Bulan Samosir, Rafidah Abd Karim, Victoria Pena Valenzuela, Krismanti Tri Wahyuni, Andi Alfian
Format: Article
Language:English
Published: Universitas Pattimura 2025-04-01
Series:Barekeng
Subjects:
balanced accuracy
imbalanced data
kappa
mental health
sdg 3
sensitivity
specificity
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/16236
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https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/16236

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