Professor in the Department of Biostatistics and Bioinformatics and director of AI Health at Duke University School of Medicine.
Machine Learning Techniques for Predicting Stroke Risk in Adults: Michael Pencina, PhD
The vice dean for data science at Duke University School of Medicine spoke about the major disparities observed in models that assess stroke risk. [WATCH TIME: 4 minutes]
Inspiration Behind Using Algorithms to Predict Stroke Risk: Michael Pencina, PhD
The vice dean for data science at Duke University School of Medicine talked about the main findings from his latest published study on stroke risk algorithms. [WATCH TIME: 3 minutes]