Identifying determinants of under-5 mortality in Bangladesh: A machine learning approach with BDHS 2022 data
Saved in:
| Main Authors: | Shayla Naznin, Md Jamal Uddin, Ahmad Kabir |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12157215/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identifying determinants of under-5 mortality in Bangladesh: A machine learning approach with BDHS 2022 data.
by: Shayla Naznin, et al.
Published: (2025-01-01) -
Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.
by: Shayla Naznin, et al.
Published: (2025-01-01) -
Identifying determinants of malnutrition in under-five children in Bangladesh: insights from the BDHS-2022 cross-sectional study
by: Tanzila Tamanna, et al.
Published: (2025-04-01) -
Prevalence of anxiety disorder and its association with BMI: an analysis of women’s experiences in Bangladesh using BDHS-2022 data
by: Farhana Afrin Duty, et al.
Published: (2025-03-01) -
Unveiling the sociodemographic and socioeconomic determinants of antenatal care utilization in Bangladesh: insights from the 2017–18 BDHS
by: Md. Mojammel Haque Sakib, et al.
Published: (2025-05-01)