A quotient basis kernel for the prediction of mortality in severe sepsis patients.
Vicent J. Ribas RipollEnrique RomeroJuan Carlos Ruiz-RodríguezAlfredo VellidoPublished in: ESANN (2013)
Keyphrases
- septic shock
- patient data
- intensive care
- prognostic models
- initial stage
- prediction accuracy
- clinical data
- early diagnosis
- intensive care unit
- least squares support vector machine
- kernel methods
- prediction model
- medical doctors
- support vector
- kernel function
- patient outcomes
- information systems
- risk factors
- health care
- survival analysis
- machine intelligence
- normal subjects
- medical data
- traumatic brain injury
- early stage