Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort.
Peyman GhasemiJoon LeePublished in: CoRR (2023)
Keyphrases
- unsupervised feature selection
- coronary artery disease
- clinical setting
- machine learning
- feature selection
- clinical practice
- clinical diagnosis
- cardiovascular disease
- data clustering
- medical records
- learning algorithm
- text classification
- text mining
- computer vision
- medical domain
- pattern recognition
- patient data
- medical data
- error correction
- unsupervised learning
- data matrix
- feature set
- dimensionality reduction
- supervised learning
- active learning
- data mining