K M Ariful Kabir
Biographic Data
| ID | 8319491 |
|---|---|
| NAME | K M Ariful Kabir |
| GIVEN NAMES | K M Ariful |
| FAMILY NAME | Kabir |
| SIGNATURE | KABIR K M A |
| AFFILIATIONS | Bangladesh University of Engineering and Technology |
| ORCID | 0000-0003-0249-5417 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unveiling socio-demographic determinants of low birth weight using machine learning techniques
Low birth weight (LBW) poses significant challenges to child survival, contributing to increased rates of mortality and morbidity, and has long-term adverse effects on overall health. The persistently high prevalence of LBW in low- and middle-income countries, including Bangladesh, reflects underlying health disparities. Despite recent improvements, Bangladesh still reports a notable LBW rate of 14.5%, indicating persistent maternal and child hea…
No prominent works on this page.
Unveiling socio-demographic determinants of low birth weight using machine learning techniques
Low birth weight (LBW) poses significant challenges to child survival, contributing to increased rates of mortality and morbidity, and has long-term adverse effects on overall health. The persistently high prevalence of LBW in low- and middle-income countries, including Bangladesh, reflects underlying health disparities. Despite recent improvements, Bangladesh still reports a notable LBW rate of 14.5%, indicating persistent maternal and child hea…
AdaBoost (1 work) · Decision tree (1 work) · Gestational Diabetes Research and Management (1 work) · Global Maternal and Child Health (1 work) · Lasso (programming language) (1 work) · Logistic regression (1 work) · Low birth weight (1 work) · Maternal and Neonatal Healthcare (1 work) · Missing data (1 work) · Random forest (1 work)