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:

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.

Authors

  • William Cabral-Miranda
    Instituto de Pesquisa e Ensino em Saúde Infantil (PENSI Institute) - José Luiz Setúbal Foundation, São Paulo, Brazil.
  • Cauê Beloni
    Instituto de Pesquisa e Ensino em Saúde Infantil (PENSI Institute) - José Luiz Setúbal Foundation, São Paulo, Brazil.
  • Felipe Lora
    Sabará Children's Hospital, São Paulo, Brazil.
  • Rogério Afonso
    Sabará Children's Hospital, São Paulo, Brazil.
  • Thales Araújo
    Sabará Children's Hospital, São Paulo, Brazil.
  • Fátima Fernandes
    Instituto de Pesquisa e Ensino em Saúde Infantil (PENSI Institute) - José Luiz Setúbal Foundation, São Paulo, Brazil.