2 Sept 2026Open access
Explainable machine learning for predicting preterm birth and associated factors in Sub Saharan AfricaPublisher siteDiscover Artificial Intelligence, Preterm Birth and Chorioamnionitis
Active, last published 2026
In global maternal and child health
Tirualem Zeleke
Yehuala
Scholar“Research focused on Global Maternal and Child Health and adjacent fields.”
Gondar University
Ethiopia
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131
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01 · About the work
What I study
irualem Zeleke Yehuala is a researcher working on Global Maternal and Child Health. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Tirualem's work has been cited 131 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Global Maternal and Child Health×19Child Nutrition and Water Access×11Mobile Health and mHealth Applications×7HIV/AIDS Research and Interventions×3Adolescent Sexual and Reproductive Health×3
04 · Where I am
Affiliations
Affiliation on published researchUniversity of Gondar, EthiopiaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
10 works12 Aug 2026Open access
Explainable machine learning for predicting childhood anemia in Sub-Saharan Africa using population-based DHS Data (2016–2024)Publisher sitePLOS Global Public Health, Iron Metabolism and Disorders
25 Apr 2026Open access
Applying machine learning algorithms and explainable AI to predict stunting and identify determinants among children under five in EthiopiaPublisher siteDiscover Artificial Intelligence, Child Nutrition and Water Access
15 Apr 2026Open access
Ultra-processed food consumption and the risk of overweight and obesity in adolescents: A systematic review and meta-analysisPublisher sitePLoS ONE, Consumer Attitudes and Food Labeling
13 Apr 2026Open access
Correction: Predicting home delivery and identifying its determinants among women aged 15–49 years in Sub‑Saharan African countries using a demographic and health surveys 2016–2023: a machine learning algorithmPublisher siteBMC Public Health, Global Maternal and Child Health
13 Feb 2026Open access
Machine learning models for predicting caesarean section delivery among women in EthiopiaPublisher siteDiscover Artificial Intelligence, Maternal and Perinatal Health Interventions
30 Sept 2025Open access1cites
Predicting malnutrition in PLWHIV using machine learning in gondar, EthiopiaPublisher siteBMC Public Health, HIV-related health complications and treatments
4 Jun 2025Open access
Predicting breast self-examination awareness in Sub-Saharan Africa using machine learningPublisher siteScientific Reports, AI in cancer detection
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