Feature Selection from Lyme Disease Patient Survey Using Machine Learning.
Joshua VendrowJamie HaddockDeanna NeedellLorraine JohnsonPublished in: Algorithms (2020)
Keyphrases
- feature selection
- machine learning
- medical doctors
- text classification
- emergency department
- disease progression
- patient groups
- text categorization
- decision trees
- chronic obstructive pulmonary disease
- liver disease
- clinical studies
- model selection
- machine learning algorithms
- cross sectional
- patient data
- unsupervised learning
- feature selection algorithms
- clinical data
- cancer patients
- support vector machine
- support vector
- mutual information
- feature set
- natural language processing
- machine learning methods
- information extraction
- feature engineering
- chronic disease
- feature generation
- learning algorithm
- feature subset
- active learning
- classification accuracy
- supervised learning
- text mining
- health care
- diabetic patients
- decision support system
- electronic medical record
- medical data
- treatment planning
- learning tasks
- clinical trials
- statistical methods
- cardiovascular disease
- semi supervised learning
- feature ranking
- microarray data
- heart rate
- knn
- medical records
- medical practitioners
- feature extraction