Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.
Cristina Soguero-RuízKristian HindbergInmaculada Mora-JiménezJosé Luis Rojo-ÁlvarezStein Olav SkrøvsethFred GodtliebsenKim MortensenArthur RevhaugRolv-Ole LindsetmoKnut Magne AugestadRobert JenssenPublished in: J. Biomed. Informatics (2016)
Keyphrases
- kernel methods
- clinical data
- intensive care unit
- medical data
- kernel function
- raw data
- patient data
- support vector
- statistical analysis
- machine learning
- clinical information
- kernel matrix
- reproducing kernel hilbert space
- feature space
- knowledge discovery
- support vector machine
- cancer patients
- kernel pca
- clinical decision making
- domain experts
- intraoperative
- mr images
- medical knowledge
- kernel learning
- expert systems
- information retrieval
- neural network
- databases