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Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit.

Joeri RuyssinckJoachim van der HertenRein HouthooftFemke OngenaeIvo CouckuytBram GadeyneKirsten ColpaertJohan DecruyenaereFilip De TurckTom Dhaene
Published in: Comput. Math. Methods Medicine (2016)
Keyphrases
  • intensive care unit
  • intensive care
  • decision support system
  • high risk
  • intensive care units
  • medical data
  • blood pressure
  • random forests
  • information systems
  • health care
  • risk management
  • patient data