Evaluating Advances in Machine Learning Algorithms for Predicting and Preventing Maternal and Foetal Mortality in Nigerian Healthcare: A Systematic Approach

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-03-01
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
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article

Evaluating Advances in Machine Learning Algorithms for Predicting and Preventing Maternal and Foetal Mortality in Nigerian Healthcare: A Systematic Approach

SPIRE - Sciences Po Institutional REpository
Global Maternal and Child Health
article

Evaluating Advances in Machine Learning Algorithms for Predicting and Preventing Maternal and Foetal Mortality in Nigerian Healthcare: A Systematic Approach

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Openalex Percentile: Top 39%
Global Maternal and Child Health
Open Access PDFOpenAlex
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Evaluating Advances in Machine Learning Algorithms for Predicting and Preventing Maternal and Foetal Mortality in Nigerian Healthcare: A Systematic Approach · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS