Deep learning for causal inference using low birth weight in midwife-led continuity care intervention in north Shoa zone, Ethiopia

The CFR-WASS/CFR-MMD model strengthens LBW prediction by identifying crucial factors like MAS and healthcare access, while accurate PEHE and ATE estimates support data-driven prenatal care and targeted interventions for healthier outcomes.

Authors

Wudneh Ketema Moges
Aweke A. Mitku (ORCID: https://orcid.org/0000-0002-6129-9558)
Solomon Hailemeskel (ORCID: https://orcid.org/0000-0002-8441-5558)
Esubalew Tesfahun (ORCID: https://orcid.org/0000-0002-1848-1872)
Awoke Seyoum Tegegne (ORCID: https://orcid.org/0000-0001-9132-8025)

Institutions

Debre Berhan University (ET)
University of the Witwatersrand (ZA)
Bahir Dar University (ET)

Publication Details

Journal: Frontiers in Artificial Intelligence
Published: 2025-09-24
DOI: https://doi.org/10.3389/frai.2025.1484299
Citations: 1
Primary Topic: Machine Learning in Healthcare
Type: article
Field-Weighted Citation Impact: 2.48

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article

Deep learning for causal inference using low birth weight in midwife-led continuity care intervention in north Shoa zone, Ethiopia

Wudneh Ketema Moges, Aweke A. Mitku, Solomon Hailemeskel, Esubalew Tesfahun et al.

Sep 24, 2025

1 citations

Frontiers in Artificial Intelligence

Machine Learning in Healthcare

2.48

article

Deep learning for causal inference using low birth weight in midwife-led continuity care intervention in north Shoa zone, Ethiopia

Wudneh Ketema Moges, Aweke A. Mitku, Solomon Hailemeskel, Esubalew Tesfahun, Awoke Seyoum Tegegne

September 24, 2025article en

1 citations

Abstract

The CFR-WASS/CFR-MMD model strengthens LBW prediction by identifying crucial factors like MAS and healthcare access, while accurate PEHE and ATE estimates support data-driven prenatal care and targeted interventions for healthier outcomes.

Frontiers in Artificial IntelligenceVol. 8

Debre Berhan University (ET), University of the Witwatersrand (ZA), Bahir Dar University (ET)

Openalex Percentile: Top 8%

Machine Learning in Healthcare

2.48

DOI Open Access PDF OpenAlex

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