An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout.
Malvika PillaiKarthik AdapaMeagan FosterIan KratzkeNadia CharguiaLukasz MazurPublished in: ISMIS (2022)
Keyphrases
- machine learning
- pattern recognition
- data mining
- factors that affect
- factors influencing
- factors affecting
- computer science
- machine learning algorithms
- information extraction
- decision support
- learning problems
- statistical methods
- machine learning methods
- supervised learning
- learning algorithm
- natural language processing
- computational intelligence
- factors that influence
- key factors
- knowledge representation
- artificial intelligence
- explanation based learning
- feature selection
- inductive learning
- computer vision
- machine learning approaches
- diagnostic tool
- support vector machine
- machine learning and data mining
- learning classifier systems
- clinical data
- inductive logic programming
- decision trees
- reinforcement learning
- statistical analysis
- unsupervised learning
- knowledge discovery
- knowledge acquisition
- text classification