Research and applications: Predicting complications of percutaneous coronary intervention using a novel support vector method.
Gyemin LeeHitinder S. GurmZeeshan SyedPublished in: J. Am. Medical Informatics Assoc. (2013)
Keyphrases
- support vector
- support vector machine
- high accuracy
- pairwise
- synthetic data
- cost function
- computational cost
- similarity measure
- significant improvement
- computational complexity
- edge detection
- support vector machine svm
- segmentation method
- prostate cancer
- high precision
- cross validation
- fully automatic
- data sets
- logistic regression
- clustering method
- classification accuracy
- probabilistic model
- learning algorithm
- neural network