Machine learning algorithms for predicting and identifying the influencing predictors of antenatal care visits among women in Bangladesh: Evidence from BDHS 2022 data
The RG model and the identified influential predictors offer valuable insights for designing targeted public health strategies to enhance ANC utilization among women in Bangladesh.
Authors
- Md. Rezaul Karim (ORCID: https://orcid.org/0000-0001-5461-7709)
- Md Merajul Islam (ORCID: https://orcid.org/0009-0001-3125-1369)
- Md. Abdus Salam (ORCID: https://orcid.org/0000-0001-7424-9237)
Institutions
- Jatiya Kabi Kazi Nazrul Islam University (BD)
- University of Rajshahi (BD)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1371/journal.pone.0324226
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00