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Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.

Kenji IkemuraEran Y BellinYukako YagiHenny Heisler BillettMahmoud SaadaKatelyn SimoneLindsay StahlJames M SzymanskiD Yitzchak GoldsteinMorayma Reyes Gil
Published in: Journal of medical Internet research (2021)
We used autoML to develop high-performing models that predicted the survival of patients with COVID-19. In addition, we identified important variables that correlated with mortality. This is proof of concept that autoML is an efficient, effective, and informative method for generating machine learning-based clinical decision support tools.
Keyphrases
  • machine learning
  • clinical decision support
  • cardiovascular events
  • artificial intelligence
  • deep learning
  • big data
  • electronic health record
  • risk factors
  • high throughput
  • coronary artery disease
  • free survival