Predicting cervical cancer risk probabilities using advanced H20 AutoML and local interpretable model-agnostic explanation techniques.
Sashikanta PrustySrikanta PatnaikSujit Kumar DashSushree Gayatri Priyadarsini PrustyJyotirmayee RautarayGhanashyam SahooPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- probabilistic model
- formal model
- computational model
- high level
- probability distribution
- conceptual model
- structural model
- risk assessment
- statistical model
- mathematical model
- prior knowledge
- objective function
- logistic regression
- theoretical framework
- parameter estimation
- graphical models
- experimental data
- management system
- risk management
- learning algorithm