Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery.
Bruno RibeiroIsabel CuriosoRicardo SantosFederico Guede FernándezPedro CoelhoJorge SantosJosé FragataAna LondralInês SousaPublished in: EPIA (2) (2023)
Keyphrases
- machine learning
- learning tasks
- computer assisted
- explanation based learning
- learning algorithm
- image guided
- intraoperative
- decision trees
- machine learning methods
- pattern recognition
- machine learning algorithms
- machine learning and data mining
- high risk
- semi supervised learning
- computational intelligence
- support vector machine
- reinforcement learning
- model selection
- text classification
- learning systems
- supervised learning
- minimally invasive
- learning problems
- inductive logic programming
- feature selection
- computer vision
- artificial intelligence
- supervised machine learning
- machine learning approaches
- statistical methods
- knowledge representation
- information retrieval