Nature Communications (May 2021)

A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy

  • Ahsan Huda,
  • Adam Castaño,
  • Anindita Niyogi,
  • Jennifer Schumacher,
  • Michelle Stewart,
  • Marianna Bruno,
  • Mo Hu,
  • Faraz S. Ahmad,
  • Rahul C. Deo,
  • Sanjiv J. Shah

DOI
https://doi.org/10.1038/s41467-021-22876-9
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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Transthyretin amyloid cardiomyopathy is a treatable but often unrecognized cause of heart failure. We derived and validated a machine learning model based on medical diagnostic codes that identifies heart failure patients at risk for wild-type transthyretin amyloid cardiomyopathy.