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Assessment of potential transthyretin amyloid cardiomyopathy cases in the Brazilian public health system using a machine learning model.

Isabella de Figueiredo ZuppoCecilia Camacho-HubnerRafaela Vansan FerreiraClaudenice Leite Bertoli de SouzaMarcus Vinicius SimõesFabio FernandesEdileide de Barros CorreiaAriane De Jesus Lopes De AbreuGuilherme Silva Julian
Published in: PloS one (2024)
Our findings may be useful to support the development of health guidelines and policies to improve diagnosis, treatment, and to cover unmet medical needs of patients with ATTR-CM in Brazil.
Keyphrases
  • public health
  • machine learning
  • healthcare
  • global health
  • heart failure
  • artificial intelligence
  • health information
  • human health
  • combination therapy
  • big data
  • climate change
  • health promotion