@article{b0d123a4aaaa48e4885ef579b20cd715,
title = "Nutritional predictors of lymphatic filariasis progression: Insights from a machine learning approach",
keywords = "Adult, Aged, Cross-Sectional Studies, Disease Progression, Elephantiasis, Filarial/epidemiology, Female, Ghana/epidemiology, Humans, Machine Learning, Male, Malnutrition/epidemiology, Middle Aged, Nutrition Assessment, Nutritional Status",
author = "Amewu, \{Emmanuel Kobla Atsu\} and Benedicta Amaglo and Priscilla Osei-Poku and Arnold Abakah and \{Koney Shardow\}, \{Abdul Latif\} and Lauri Wright and Alexander Kwarteng",
note = "Publisher Copyright: {\textcopyright} 2025 Amewu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2025",
month = mar,
day = "26",
doi = "10.1371/journal.pone.0320640",
language = "English",
volume = "20",
pages = "e0320640",
journal = "PloS one",
issn = "1932-6203",
number = "3",
}