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
Makda Fekadie
Tewelgne
Scholar“Research focused on Global Maternal and Child Health and adjacent fields.”
Gondar University
Ethiopia
Claim Your ProfileEthiopia3
H-index
21
Citations
Makda has not officially claimed their profile. If you are Makda, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
akda Fekadie Tewelgne 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
Makda's work has been cited 21 times across 2 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×5Mobile Health and mHealth Applications×4Child Nutrition and Water Access×3Pregnancy and preeclampsia studies×2Energy Efficient Wireless Sensor Networks×2
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
7 works15 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
27 Feb 2026Open access
Energy efficient modified TDMA schedule for reducing energy consumption in Wireless Sensor NetworksPublisher siteDiscover Applied Sciences, Energy Efficient Wireless Sensor Networks
13 Feb 2026Open access
Machine learning models for predicting caesarean section delivery among women in EthiopiaPublisher siteDiscover Artificial Intelligence, Maternal and Perinatal Health Interventions
9 Oct 20251cites
Machine Learning (ML) Algorithm to Predict Mortality of Trauma Patients Admitted to the Intensive Care Units (ICU) in Northwest EthiopiaPublisher siteNursing in Critical Care, Trauma and Emergency Care Studies
2 Jul 2025Open access5cites
Energy efficient inter-cluster multi-hop communication routing protocol for wireless sensor network based on centralized energy efficient clustering routing protocolPublisher siteDiscover Applied Sciences, Energy Efficient Wireless Sensor Networks
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Makda?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you