Machine learning for predicting Chagas disease infection in rural areas of Brazil.

Journal: PLoS neglected tropical diseases
PMID: 38626209

Abstract

INTRODUCTION: Chagas disease is a severe parasitic illness that is prevalent in Latin America and often goes unaddressed. Early detection and treatment are critical in preventing the progression of the illness and its associated life-threatening complications. In recent years, machine learning algorithms have emerged as powerful tools for disease prediction and diagnosis.

Authors

  • Fabio De Rose Ghilardi
    Faculdade de Medicina da Universidade de São Paulo-FMUSP, São Paulo, Brazil.
  • Gabriel Silva
    Faculdade de Saúde Pública da Universidade de São Paulo-FSP USP, São Paulo, Brazil.
  • Thallyta Maria Vieira
    Universidade Estadual de Montes Claros-Unimontes, Montes Claros, Minas Gerais, Brazil.
  • Ariela Mota
    Universidade Estadual de Montes Claros-Unimontes, Montes Claros, Minas Gerais, Brazil.
  • Ana Luiza Bierrenbach
    Faculdade de Medicina da Universidade de São Paulo-FMUSP, São Paulo, Brazil.
  • Renata Fiúza Damasceno
    Graduate Program in Health Sciences, State University of Montes Claros (Universidade Estadual de Montes Claros), Montes Claros, Minas Gerais, Brazil.
  • Lea Campos de Oliveira
    Instituto de Medicina Tropical da Faculdade de Medicina da USP-IMT USP, São Paulo, Brazil.
  • Alexandre Dias Porto Chiavegatto Filho
    Faculdade de Saúde Pública da Universidade de São Paulo-FSP USP, São Paulo, Brazil.
  • Ester Sabino
    Faculdade de Medicina da Universidade de São Paulo-FMUSP, São Paulo, Brazil.

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