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

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

Abstract Background Extensive research on infant mortality (IM) exists in developing countries; however, most of the methods applied thus far relied on conventional regression analyses with limited prediction capability. Advanced of Machine Learning (AML) methods provide accurate prediction of IM; h...

Full description

Bibliographic Details
Main Authors: Emmanuel Mfateneza, Pierre Claver Rutayisire, Emmanuel Biracyaza, Sanctus Musafiri, Willy Gasafari Mpabuka
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Pregnancy and Childbirth
Subjects:
Infant mortality
Machine Learning
Logistic regression
Model accuracy
Online Access:https://doi.org/10.1186/s12884-022-04699-8

Internet

https://doi.org/10.1186/s12884-022-04699-8

Similar Items