A framework for the oversight and local deployment of safe and high-quality prediction models.
Armando BedoyaNicoleta J. Economou-ZavlanosBenjamin Alan GoldsteinAllison YoungJohn Eric JelovsekCara O'BrienAmanda B. ParrishScott ElengoldKay LytleSuresh BaluErich HuangEric G. PoonMichael J. PencinaPublished in: J. Am. Medical Informatics Assoc. (2022)
Keyphrases
- high quality
- modeling framework
- probabilistic model
- main contribution
- mathematical framework
- models built
- prediction accuracy
- predictive model
- information systems
- gaussian process models
- higher quality
- prediction model
- statistical models
- process model
- ground truth
- social networks
- classification models
- highly accurate
- mathematical models
- model driven
- bayesian framework
- model construction
- generic model
- prediction algorithm