Identifying High-Risk Workspaces during COVID-19 using Machine Learning.
Lex DrennanMatthew ChesserJorge LozanoErin CarrierPublished in: FLAIRS Conference (2021)
Keyphrases
- high risk
- machine learning
- risk factors
- prostate cancer
- machine learning methods
- pattern recognition
- active learning
- data mining
- learning algorithm
- artificial intelligence
- computer vision
- decision trees
- statistical methods
- computational intelligence
- machine learning algorithms
- supervised learning
- text classification
- data analysis
- anomaly detection
- open source
- management system
- case study
- information systems
- intensive care unit