Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine …
Background Globally, 38% of contraceptive users discontinue the use of a method within the
first twelve months. In Ethiopia, about 35% of contraceptive users also discontinue within …
first twelve months. In Ethiopia, about 35% of contraceptive users also discontinue within …
Performance of machine learning classifiers in classifying stunting among under-five children in Zambia
Stunting is a global public health issue. We sought to train and evaluate machine learning
(ML) classification algorithms on the Zambia Demographic Health Survey (ZDHS) dataset to …
(ML) classification algorithms on the Zambia Demographic Health Survey (ZDHS) dataset to …
[HTML][HTML] Prediction of stunting among under-5 children in Rwanda using machine learning techniques
S Ndagijimana, IH Kabano, E Masabo… - Journal of Preventive …, 2023 - ncbi.nlm.nih.gov
Objectives: Rwanda reported a stunting rate of 33% in 2020, decreasing from 38% in 2015;
however, stunting remains an issue. Globally, child deaths from malnutrition stand at 45 …
however, stunting remains an issue. Globally, child deaths from malnutrition stand at 45 …
Machine Learning Implementations in Childhood Stunting Research: A Systematic Literature Review
Childhood stunting is a condition anticipated to affect the growth potential of children under
the age of five. With numerous stunting researches that have been conducted, stunting …
the age of five. With numerous stunting researches that have been conducted, stunting …
A hybrid ensemble approach to accelerate the classification accuracy for predicting malnutrition among under-five children in sub-Saharan African countries
Background The proper intake of nutrients is essential to the growth and maturation of
youngsters. In sub-Saharan Africa, 1 in 7 children dies before age 5 y, and more than a third …
youngsters. In sub-Saharan Africa, 1 in 7 children dies before age 5 y, and more than a third …
Classification of Stunting in Children Using the C4. 5 Algorithm
M Yunus, MK Biddinika, A Fadlil - Jurnal Online Informatika, 2023 - join.if.uinsgd.ac.id
Stunting is a disease caused by malnutrition in children, which results in slow growth.
Generally, stunting is characterized by a lack of weight and height in young children. This …
Generally, stunting is characterized by a lack of weight and height in young children. This …
[HTML][HTML] Using best performance machine learning algorithm to predict child death before celebrating their fifth birthday
AW Demsash - Informatics in medicine unlocked, 2023 - Elsevier
Introduction Child morbidity and mortality in resource-limited settings is a major public health
problem. The previous studies were mainly concerned with determining the prevalence of …
problem. The previous studies were mainly concerned with determining the prevalence of …
Prediction of stunting prevalence in east java province with random forest algorithm
Stunting or cases of failure to thrive in toddlers is one of the most serious health problems
faced by the people of Indonesia. Based on data from the Ministry of Health and the Central …
faced by the people of Indonesia. Based on data from the Ministry of Health and the Central …
Predictors of micronutrient deficiency among children aged 6–23 months in Ethiopia: a machine learning approach
Introduction Micronutrient (MN) deficiencies are a major public health problem in developing
countries including Ethiopia, leading to childhood morbidity and mortality. Effective …
countries including Ethiopia, leading to childhood morbidity and mortality. Effective …
Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach
ZB Tadese, AM Nigatu, TZ Yehuala, Y Sebastian - Scientific Reports, 2024 - nature.com
Abstract The World Health Organization as part of the goal of universal vaccination coverage
by 2030 for all individuals. The global under-five mortality rate declined from 59% in 1990 to …
by 2030 for all individuals. The global under-five mortality rate declined from 59% in 1990 to …