A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19.
Lodewijk BrandLauren Zoe BakerHua WangPublished in: BCB (2021)
Keyphrases
- incomplete data
- multi instance
- outcome prediction
- support vector machine
- multi class
- binary classification
- real valued
- genomic data
- missing values
- missing data
- breast cancer
- semi supervised learning
- bayesian networks
- multi label
- training data
- em algorithm
- feature vectors
- support vector
- feature space
- feature selection
- k nearest neighbor
- cancer treatment
- machine learning
- data analysis
- semi supervised
- knn
- knowledge discovery
- high throughput
- object segmentation
- decision trees
- clustering algorithm