Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients.
Jarne VerhaegheThomas De CorteChristopher M. SauerTom HendriksOlivier W. M. ThijssensFemke OngenaePaul W. G. ElbersJan J. De WaeleSofie Van HoeckePublished in: Int. J. Medical Informatics (2023)
Keyphrases
- machine learning models
- predictive model
- high risk
- atrial fibrillation
- intensive care unit
- clinical data
- intensive care units
- spam filtering
- machine learning algorithms
- machine learning approaches
- prediction model
- medical data
- machine learning
- intensive care
- learning models
- text categorization
- text classification
- vision system
- feature vectors
- decision trees
- heart rate variability
- neural network