Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation.
George-Alexandru AdamChun-Hao Kingsley ChangBenjamin Haibe-KainsAnna GoldenbergPublished in: MLHC (2020)
Keyphrases
- experimental data
- learning models
- statistical methods
- machine learning
- accurate models
- probabilistic model
- prior knowledge
- learned models
- predictive model
- models built
- data analysis
- data sets
- feedback loops
- statistical models
- input data
- data sources
- knowledge discovery
- neural network model
- probability distribution
- measured data
- latent factors
- real time
- model selection
- parameter estimation
- graphical models
- historical data
- training data
- decision making
- neural network