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Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes.

Enrico LongatoMario Luca MorieriGiovanni SparacinoBarbara Di CamilloAnnamaria CattelanSara Lo MenzoMarco TrevenzoliAndrea VianelloGabriella GuarnieriFederico LionelloAngelo AvogaroPaola FiorettoRoberto VettorGian Paolo Fadini
Published in: Comput. Methods Programs Biomed. (2022)
Keyphrases
  • dynamic bayesian networks
  • training data
  • missing values
  • feature selection
  • bayesian networks
  • reinforcement learning
  • prior knowledge
  • data points
  • labeled data
  • human body