A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones

HM Fenta, T Zewotir, EK Muluneh - BMC Medical Informatics and Decision …, 2021 - Springer
Background Undernutrition is the main cause of child death in developing countries. This
paper aimed to explore the efficacy of machine learning (ML) approaches in predicting …

Investigation of nutritional status of children based on machine learning techniques using Indian demographic and health survey data

S Khare, S Kavyashree, D Gupta, A Jyotishi - Procedia computer science, 2017 - Elsevier
Malnutrition is the leading causes of infant mortality among the developing countries
including India. This study designs a prediction model for malnutrition based on machine …

Health care expenditure and child mortality in Nigeria

OT Adeosun, OM Faboya - … Journal of Health Care Quality Assurance, 2020 - emerald.com
Purpose Health improves the proficiency and output generated by individuals. It also raises
physical as well as mental abilities, which are required for the growth and advancement of …

Impact of National Health Mission on infant mortality in India: An interrupted time series analysis

S Prinja, A Sharma, R Nimesh… - … journal of health …, 2021 - Wiley Online Library
Abstract Government of India introduced National Rural Health Mission in 2005—now
transformed into National Health Mission (NHM), to bring about architectural reforms in …

Infant Mortality Rate Convergence across Indian States: Relative Club Convergence Evidence

V Akram, G Usmani, BN Rath… - The Indian Economic …, 2024 - journals.sagepub.com
This article investigates the relative convergence of infant mortality rate (IMR) across the 15
major Indian states for the period 1987–2020. To test this hypothesis, this study applies …

Major Determinants of Infant Mortality: District-level Evidence from Annual Health Survey States of India

S Banerjee, S Koner, A Kaur… - Journal of Health …, 2023 - journals.sagepub.com
The study aims to understand the major determinants of infant mortality in infant mortality-
prone annual health survey states of India. The study has considered district level infant …

[PDF][PDF] Analysis and prediction of child mortality in India

R Gawande, S Indulkar, H Keswani… - … Research Journal of …, 2019 - academia.edu
Reducing the mortality rate and increasing health awareness is one of the aims of the
planners of development and decision makers. For the policies to be made in the correct …

Characteristics and causes of malnutrition across Indian states: a cluster analysis based on Indian demographic and health survey data

NA Anilkumar, D Gupta, S Khare… - … on Advances in …, 2017 - ieeexplore.ieee.org
Good nutrition is an essential component of life. Undernutrition is the root cause of death of
over 3.5 million children under the age of five in India. To address this issue of malnutrition …

Characteristics of 'Escaping'and 'Falling into'Poverty in India: An Analysis of IHDS Panel Data using machine learning approach

S Narendranath, S Khare, D Gupta… - … on Advances in …, 2018 - ieeexplore.ieee.org
Though research on poverty is numerous, it is in recent times that data scientists have taken
interest in understanding the phenomena using various nonconventional methods. The …

Application of machine learning methods in analysis of infant mortality in Rwanda: Analysis of Rwanda Demographic Health Survey 2014-15 dataset

M Emmanuel - 2021 - dr.ur.ac.rw
Extensive research on infant mortality (IM) exists in developing countries; however, most of
the methods applied thus far relied on conventional regression analyses with limited …