Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective
The analyses underscore the importance of SDG 3 in Bangladesh and its progress towards ensuring healthy lives and well-being for all. While there is optimism regarding NMR and U5MR, more focused efforts may be needed to address the challenges posed by MMR and Death Rate Due to RTI to align with the 2030 targets. This study contributes valuable insights into Bangladesh's journey toward sustainable development in the realm of health and well-being.
Authors
- Papia Sultana (ORCID: https://orcid.org/0000-0002-5917-238X)
- M. M. Imran Molla (ORCID: https://orcid.org/0009-0000-9315-7338)
- Md. Raqibul Islam (ORCID: https://orcid.org/0009-0007-4413-1343)
- Md. Sifat Hossain (ORCID: https://orcid.org/0009-0000-7265-5143)
- Dulal Chandra Roy
- Md. Ayub Ali
Institutions
- Pundra University of Science and Technology (BD)
- University of Barishal (BD)
- University of Rajshahi (BD)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1371/journal.pone.0314466
- Primary Topic
- Insurance and Financial Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00