Scalable Machine Learning for Predicting At-Risk Profiles Upon Hospital Admission.
Pierre GenevèsThomas CalmantNabil LayaïdaMarion LepelleySvetlana ArtemovaJean-Luc BossonPublished in: Big Data Res. (2018)
Keyphrases
- machine learning
- high risk
- emergency department
- intensive care
- machine learning algorithms
- risk assessment
- information extraction
- machine learning methods
- feature selection
- artificial intelligence
- risk factors
- pattern recognition
- information systems
- decision making
- data analysis
- risk management
- highly scalable
- statistical methods
- health care
- learning systems
- data mining
- natural language processing
- data sets
- computer vision
- decision trees
- reinforcement learning
- knowledge representation
- inductive learning
- active learning
- computational biology
- computer science
- machine learning approaches
- inductive logic programming
- knowledge base
- admission control
- supervised learning
- risk measures
- user profiles