Learning stroke treatment progression models for an MDP clinical decision support system

Keyphrases

• Action History 50%
• Action Space 50%
• Bayes Network 50%
• Clinical Decision Support 50%
• Clinical Decision Support Systems 100%
• Clinical Trial Data 50%
• Decision Support Framework 50%
• Electronic Health Record Data 100%
• Healthcare Domain 50%
• Hidden States 50%
• Ischemic Stroke 50%
• Learning Methods 50%
• Logistic Regression 50%
• Model Selection 50%
• Model Validation 50%
• Nave Bayes 50%
• Observation Space 50%
• Optimal Treatment 50%
• Optimization Decision 50%
• Partially Observable Markov Decision Process 50%
• Patient Outcomes 100%
• Predicting the Future 50%
• Predictive Models 50%
• Probabilistic Model 50%
• Progression Model 100%
• Random Forest 50%
• Sampling Methods 50%
• Stroke Treatment 100%
• Stroke Trials 50%
• Survival Rate 50%
• System Use 50%
• Treatment Costs 50%
• Treatment Progression 100%
• Treatment Recommendations 50%
• Tree Growing 50%

Computer Science

• clinical decision support 50%
• Clinical Decision Support System 100%
• Data Record 100%
• Health Care 50%
• Logistic Regression 50%
• Nave Bayes 50%
• Predictive Model 50%
• Random Decision Forest 50%
• Treatment Plan 50%

Psychology

• Healthcare 100%
• Model Selection 100%