Potential value and impact of data mining and machine learning in clinical diagnostics

M Saberi-Karimian, Z Khorasanchi… - Critical reviews in …, 2021 - Taylor & Francis
Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …

The key artificial intelligence technologies in early childhood education: a review

H Yi, T Liu, G Lan - Artificial Intelligence Review, 2024 - Springer
Artificial Intelligence (AI) technologies have been applied in various domains, including
early childhood education (ECE). Integration of AI educational technology is a recent …

[HTML][HTML] Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh

MM Islam, MJ Rahman, MM Islam, DC Roy… - International Journal of …, 2022 - Elsevier
Abstract Background and Objectives Malnutrition among women is a major public health
problem that has been linked to stunted growth, diabetes, and has adverse consequences …

[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 …

Random forest ensemble machine learning model for early detection and prediction of weight category

SI Ayua - Journal of Data Science and Intelligent Systems, 2024 - ojs.bonviewpress.com
The number of insurgents in our nation today is significantly rising each day, and the
majority of those affected are living as internally displaced persons (IDP) in various IDP …

Machine learning based prediction of edematous malnutrition in afghan children

Z Momand, MS Zarinkhail, MF Aryan - Proceedings of International …, 2022 - Springer
Proper nutrition is one of the necessities of human health. Malnutrition in children is an
ecumenical problem that causes mortality and morbidity in children. Afghanistan is one of …

Aprendizaje automático para predicción de anemia en niños menores de 5 años mediante el análisis de su estado de nutrición usando minería de datos

AJ Marcos Valdez, EG Navarro Ortiz… - Computación y …, 2023 - scielo.org.mx
Uno de los principales problemas de salud pública es la desnutrición infantil, ya que afecta
negativamente al individuo a lo largo de su vida, limita el desarrollo de la sociedad y …

Assessing risk factors for malnutrition among women in Bangladesh and forecasting malnutrition using machine learning approaches

EA Turjo, MH Rahman - BMC nutrition, 2024 - Springer
Background This paper presents an in-depth examination of malnutrition in women in
Bangladesh. Malnutrition in women is a major public health issue related to different …

Machine Learning Method to Predict the Toddlers' Nutritional Status

R Gustriansyah, N Suhandi, S Puspasari… - JURNAL …, 2024 - ejournal.ittelkom-pwt.ac.id
Malnutrition is one of the leading health problems experienced by toddlers in various
countries. Based on the 2022 Indonesian Nutritional Status Survey results, malnutrition in …

[PDF][PDF] Predicting a stunting prevalence using semi-supervised learning models in east nusa tenggara

SP Manongga, H Hendry, DHF Manongga - Int. J. Innov. Comput. Inf …, 2023 - ijicic.org
Stunting is a complicated problem to solve. The impact of stunting is on the long-term
development of children where they may never reach their full high potential and have poor …