Climate predictors of child undernutrition: Insights from a machine learning model.

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Bibliographic Details
Title: Climate predictors of child undernutrition: Insights from a machine learning model.
Authors: Essiam FAAP; Department of Biochemistry and Biotechnology, Faculty of Biosciences, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Amoako M; Department of Biochemistry and Biotechnology, Faculty of Biosciences, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Issah S; Department of Meteorology and Climate Science, Faculty of Physical and Computational Sciences, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Biney M; Department of Meteorology and Climate Science, Faculty of Physical and Computational Sciences, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Akuffo KO; Department of Optometry and Visual Science, Faculty of Biosciences, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Amekudzi LK; Department of Meteorology and Climate Science, Faculty of Physical and Computational Sciences, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Source: PloS one [PLoS One] 2026 Mar 06; Vol. 21 (3), pp. e0342448. Date of Electronic Publication: 2026 Mar 06 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0342448