Join Advance-CTR and the Data Science Initiative for this 5-part series exploring machine learning, its methodology, and application in biomedicine and health.
The purpose of this series is to serve as an introduction to machine learning for researchers, clinician scientists, and others who may be interested in using these methods in their research.
Friday October 1
Carsten Eickhoff, PhD: "An Introduction to Machine Learning"
Friday, October 8
Roberta De Vito, PhD: "Cross-Study Machine Learning Techniques: Reproducibility and Differences Across Studies”
Wednesday, October 13
Yichi Zhang, PhD: "Interpretable Individualized Treatment Rules Using Decision Lists”
Wednesday, October 20
Ruotao Zhang, MSc: “Role of Calibration in Uncertainty-based Referral for Deep Learning”
Dilum Aluthge, MD, PhD candidate: “Supervised Machine Learning Workflows for Electronic Health Records”
Wednesday, October 27
Joe Hogan, ScD: Title TBA