Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.
<h4>Background</h4>Under-5 mortality remains a critical social indicator of a country's development and economic sustainability, particularly in developing nations like Bangladesh. This study employs machine learning models, including Linear Regression, Ridge Regression, Lasso Regre...
Saved in:
Main Authors: | Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0317715 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh
by: Ashikur Rahman, et al.
Published: (2025-01-01) -
A study of association between maternal tetanus toxoid immunization and neonatal mortality in the context of Bangladesh.
by: Sujan Kumar Naha, et al.
Published: (2025-01-01) -
Analyzing the Performance of Machine Learning Techniques in Disease Prediction
by: Khongdet Phasinam, et al.
Published: (2022-01-01) -
Hierarchical forecasting of causes of death with trend breaks in mortality modeling: Kenyan case
by: Nicholas Bett, et al.
Published: (2025-01-01) -
Retracted: Analyzing the Performance of Machine Learning Techniques in Disease Prediction
by: Journal of Food Quality
Published: (2023-01-01)