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Predicting malnutrition in PLWHIV using machine learning in gondar, Ethiopia

Abstract Background Human Immunodeficiency Virus (HIV) continues to be a major global public health challenge, affecting 39.9 million people globally by the end of 2023. Sub-Saharan Africa bears a significant burden, contributing to 67% of cases. Malnutrition is prevalent among people living with HI...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Andualem Enyew Gedefaw, Abraham Keffale Mengistu, Tadele Chekol Maru, Agmasie Damtew Walle, Meron Asmamaw Alemayehu, Tirualem Zeleke Yehuala, Nebebe Demis Baykemagn
Hōputu: Artigo
Reo:Inglês
I whakaputaina: BMC 2025-09-01
Rangatū:BMC Public Health
Ngā marau:
HIV
Machine learning
Nutritional status
PLWHIV
Malnutrition prediction
ART
Urunga tuihono:https://doi.org/10.1186/s12889-025-24139-4
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