[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 …

Studying infant mortality: A demographic analysis based on data mining models

MI Satti, MW Ali, A Irshad, MA Shah - Open Life Sciences, 2023 - degruyter.com
Child mortality, particularly among infants below 5 years, is a significant community well-
being concern worldwide. The health sector's top priority in emerging states is to minimize …

Determinants and development of a web-based child mortality prediction model in resource-limited settings: a data mining approach

B Tesfaye, S Atique, N Elias, L Dibaba… - Computer methods and …, 2017 - Elsevier
Background Improving child health and reducing child mortality rate are key health priorities
in developing countries. This study aimed to identify determinant sand develop, a web …

Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach

F Iqbal, MI Satti, A Irshad, MA Shah - Open Life Sciences, 2023 - degruyter.com
In developing countries, child health and restraining under-five child mortality are one of the
fundamental concerns. UNICEF adopted sustainable development goal 3 (SDG3) to reduce …

Implementing predictive model for child mortality in Afghanistan

N Nasrat, K Lavangnananda - … Technology: ICICT 2021, London, Volume 4, 2022 - Springer
Reduction of child mortality and improving child health are health priorities in
underdeveloped and developing countries. Afghanistan has a high rank of child mortality …

Identify determinants of infant and child mortality based using machine learning: Case study on Ethiopia

SK Mohapatra, S Prasad… - Big Data Analytics …, 2022 - Wiley Online Library
The Ethiopian government doing for the past two decades for attaining millennium
development goals agenda for preventing childhood mortality by improving the child health's …

Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset

O Samuel, T Zewotir, D North - BMC Medical Informatics and Decision …, 2024 - Springer
Background Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …

Application of machine learning methods for predicting infant mortality in Rwanda: analysis of Rwanda demographic health survey 2014–15 dataset

E Mfateneza, PC Rutayisire, E Biracyaza… - BMC Pregnancy and …, 2022 - Springer
Background Extensive research on infant mortality (IM) exists in developing countries;
however, most of the methods applied thus far relied on conventional regression analyses …

Application of machine learning techniques for predicting child mortality and identifying associated risk factors

E Mbunge, SG Fashoto, B Muchemwa… - 2023 Conference on …, 2023 - ieeexplore.ieee.org
Despite continuous persistent efforts to enhance child health through, among other things,
universal access to care, child mortality remains a significant public health concern on a …

Machine learning algorithm for analysing infant mortality in Bangladesh

A Rahman, Z Hossain, E Kabir, R Rois - International Conference on …, 2021 - Springer
The study aims to investigate the potential predictors associated with infant mortality in
Bangladesh through machine learning (ML) algorithm. Data on infant mortality of 26145 …