A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women

A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women

Abstract Domestic violence against women is a prevalent in Liberia, with nearly half of women reporting physical violence. However, research on the biosocial factors contributing to this issue remains limited. This study aims to predict women’s vulnerability to domestic violence using a machine lear...

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Detalles Bibliográficos
Main Authors: Riaz Rahman, Md. Nafiul Alam Khan, Sabiha Shirin Sara, Md. Asikur Rahman, Zahidul Islam Khan
Formato: Artigo
Idioma:English
Publicado: BMC 2023-10-01
Series:BMC Women's Health
Subjects:
XGBoost
Decision tree
K-NN
CatBoost
Domestic Violence
Machine learning technique
Acceso en liña:https://doi.org/10.1186/s12905-023-02701-9

Internet

https://doi.org/10.1186/s12905-023-02701-9

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