Proxy-based modeling of indoor air pollution exposure and nonlinear health patterns in biomass-dependent households using machine learning.

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Bibliographic Details
Title: Proxy-based modeling of indoor air pollution exposure and nonlinear health patterns in biomass-dependent households using machine learning.
Authors: Odebode A; Bishop Barham University College, Uganda Christian University, Kabale, Uganda., Lasekan O; Universidad Católica de Temuco, Temuco, Chile., Ogundele A; Universidad de La Frontera, Temuco, Chile., Silva HH; Universidad de La Frontera, Temuco, Chile., Adigun B; ART Clinic, Regional Referral Hospital, Kabale, Uganda.
Source: Frontiers in public health [Front Public Health] 2026 Jul 01; Vol. 14, pp. 1863424. Date of Electronic Publication: 2026 Jul 01 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-2565
DOI:10.3389/fpubh.2026.1863424