Evolving classifiers to inform clinical assessment of Parkinson's disease.
Michael A. LonesJane E. AltyStuart E. LacyD. R. Stuart JamiesonKatherine L. PossinNorbert SchuffStephen L. SmithPublished in: CICARE (2013)
Keyphrases
- disease diagnosis
- clinically relevant
- decision trees
- multiple sclerosis
- clinical applications
- diabetic patients
- diagnostic process
- disease progression
- test set
- training set
- clinical studies
- training data
- naive bayes
- clinical practice
- support vector
- lung cancer patients
- svm classifier
- cancer patients
- cardiovascular disease
- medical doctors
- feature selection
- bladder cancer
- dna microarray
- medical practice
- linear classifiers
- patient groups
- patient data
- weak classifiers
- diabetes mellitus
- magnetic resonance images
- machine learning algorithms
- physiological processes
- machine learning