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 …
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 …
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 …
Machine Intelligence in Africa: a survey
In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …
Design and development of information systems for data collection and monitoring of children's growth and development as an effort to prevent stunting in Kotapari …
Stunting is one of the problems being faced by Kotapari Village. The absence of an
information system about stunting that is easily accessible to the public is one of the aspects …
information system about stunting that is easily accessible to the public is one of the aspects …
Employing machine learning techniques for prediction of micronutrient supplementation status during pregnancy in East African Countries
Micronutrient deficiencies, known as “hidden hunger” or “hidden malnutrition,” pose a
significant health risk to pregnant women, particularly in low-income countries like the East …
significant health risk to pregnant women, particularly in low-income countries like the East …
Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia
In developing countries, one-quarter of young women have suffered from anemia. However,
the available studies in Ethiopia have been usually used the traditional stastical methods …
the available studies in Ethiopia have been usually used the traditional stastical methods …
Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach
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 …
Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms
Background and objectives Child undernutrition is a leading global health concern,
especially in low and middle-income developing countries, including Bangladesh. Thus, the …
especially in low and middle-income developing countries, including Bangladesh. Thus, the …
Machine learning prediction of nutritional status among pregnant women in Bangladesh: Evidence from Bangladesh demographic and health survey 2017–18
N Begum, MM Rahman, M Omar Faruk - Plos one, 2024 - journals.plos.org
Aim Malnutrition in pregnant women significantly affects both mother and child health. This
research aims to identify the best machine learning (ML) techniques for predicting the …
research aims to identify the best machine learning (ML) techniques for predicting the …