Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors.
Journal:
Journal of global health
Published Date:
Jul 21, 2025
Abstract
BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big data to analyse clinical information combined with external sources. Machine learning, a subset of AI, uses algorithms trained on data to generate predictive models. Air pollution is a known risk factor for various health outcomes, with children being a particularly vulnerable group.