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Invited Paper Session

Enhanced clinical risk prediction accuracy provided by real and artificial intelligence

Wed, Aug 6, 2:00 PM - 3:50 PM Room CC-105B Music City Center

Donna AnkerstOrganizerDonna AnkerstChair

International Society for Clinical Biostatistics co: Biometrics Sectionco: Society for Risk Analysis Applied

3 Presentations

Predicting absolute risk for a person with missing risk factors

2:05 PM - 2:30 PM

Ruth Pfeiffer (NIH/NCI)

Absolute risk Missing predictor data in absolute risk models Risk score Target population Reference data Transportability

Applicability of clinical prediction models: lessons from traumatic brain injury

2:30 PM - 2:55 PM

Ewout Steyerberg (University Medical Center Utrecht)

External validation area under the ROC curve Calibration Individualized risk

Making ovarian cancer diagnostic models useful for clinical practice: regulatory issues, multinomial outcomes, differential verification, and deep learning assistance

2:55 PM - 3:20 PM

Ben Van Calster (KU Leuven)

Clinical prediction models Implementation Deep learning

Discussant

Chuan Hong

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