Machine Learning Models for Predicting Pediatric Hospitalizations Due to Air Pollution and Humidity: A Retrospective Study
This study investigates the effects of air pollution and humidity on pediatric respiratory health. The models developed offer valuable tools for predicting hospitalizations and are intended to support public health planning and resource allocation.
Authors
- Zohar Barnett‐Itzhaki (ORCID: https://orcid.org/0000-0001-9891-9397)
- Vered Nir (ORCID: https://orcid.org/0000-0001-7279-9294)
- Adi Klein (ORCID: https://orcid.org/0000-0001-9862-4812)
- Almog Kellner
- Stuart R. Toledano
- Ofir Biton
Institutions
- Technion – Israel Institute of Technology (IL)
- Hillel Yaffe Medical Center (IL)
- Ruppin Academic Center (IL)
Publication Details
- Journal
- Pediatric Pulmonology
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1002/ppul.71106
- Citations
- 1
- Primary Topic
- Air Quality and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 1.20