Feasibility of using machine learning on insurance claims to identify correlates of lower extremity amputation in insured adults with type 2 diabetes who initiate treatment with sodium-glucose co-transporter 2 (SGLT-2) inhibitors.
Yuan LuoAndrew J. CooperRaymond KangRonald AckermannPublished in: AMIA (2021)
Keyphrases
- machine learning
- lower extremity
- machine learning algorithms
- natural language processing
- blood glucose
- machine learning methods
- decision trees
- data mining
- pattern recognition
- data analysis
- learning algorithm
- machine learning approaches
- neural network
- medical data
- information extraction
- computational biology
- learning tasks
- computer vision
- model selection
- human immunodeficiency virus
- learning systems
- feature selection
- decision support system
- medical images
- supervised learning
- support vector machine
- knowledge discovery
- reinforcement learning