Gradient Boosting and Minimum Redundancy Maximum Relevance (mRMR) Feature Selection for Diagnosis of Parkinson's Disease Through Patient Audio Data.
Jagadeepram MaddipatlaRishi AthavalePublished in: FTC (3) (2022)
Keyphrases
- minimum redundancy
- gradient boosting
- feature selection
- medical doctors
- cardiovascular disease
- loss function
- early diagnosis
- single feature
- text categorization
- support vector
- feature space
- classification accuracy
- dimensionality reduction
- support vector machine
- feature subset selection
- feature selection algorithms
- deep brain stimulation
- model selection
- text classification
- feature set
- multi class
- feature extraction
- machine learning
- microarray data
- feature subset
- relational domains
- high dimensionality
- k nearest neighbor
- imitation learning
- pairwise
- data sets