[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 …
Studying infant mortality: A demographic analysis based on data mining models
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 …
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 …
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
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 …
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 …
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 …
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
Background Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …
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 …
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 …
universal access to care, child mortality remains a significant public health concern on a …
Machine learning algorithm for analysing infant mortality in Bangladesh
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 …
Bangladesh through machine learning (ML) algorithm. Data on infant mortality of 26145 …