Identifying influential determinants of women’s empowerment in Bangladesh using machine learning algorithms

This study provides the best predictive model and identifies influential determinants of women's empowerment in Bangladesh, offering valuable insights for achieving Sustainable Development Goal 5 (SDG-5) by 2030 through targeted actions and policies.

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Publication Details

Journal
PLoS ONE
Published
2025-12-09
DOI
https://doi.org/10.1371/journal.pone.0338037
Primary Topic
Microfinance and Financial Inclusion
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying influential determinants of women’s empowerment in Bangladesh using machine learning algorithms

Md. Rezaul Karim, Samiul Islam, Md Merajul Islam, Md. Zia Uddin et al.
PLoS ONE
Microfinance and Financial Inclusion
article

Identifying influential determinants of women’s empowerment in Bangladesh using machine learning algorithms

Md. Rezaul Karim, Samiul Islam, Md Merajul Islam, Md. Zia Uddin, Md. Abdus Salam, Aparna Das, Tamanna Rahman Shraboni
article en

Abstract

This study provides the best predictive model and identifies influential determinants of women's empowerment in Bangladesh, offering valuable insights for achieving Sustainable Development Goal 5 (SDG-5) by 2030 through targeted actions and policies.

PLoS ONEVol. 20(12)
Jatiya Kabi Kazi Nazrul Islam University (BD), University of Rajshahi (BD)
Openalex Percentile: Top 53%
Microfinance and Financial Inclusion
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