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Handout Recording

Educational Sessions

Innovation

Session Name: Pharmacy Power Hour

Protect the Women & Children: Machine Learning Methods to Predict Adverse Drug Events (ADEs)

Wednesday, December 7, 2022

10:00 AM – 11:00 AM

Location: Mandalay Bay South Convention Center, Oceanside A, Level 2

CE Credits: 1.00 contact hours

Activity #: 0204-0000-22-321-L05-P
Activity Type: Knowledge-based
Target Audience: Pharmacist

Learning Objectives:

Discuss ongoing database development focused on predicting drug event risks in pediatric patients.
Summarize pharmacovigilance algorithms that leverage machine learning to predict sex risks.

Program Chair(s)

Nicholas P. Tatonetti, PhD

Associate Professor of Biomedical Informatics, Departments of Biomedical Informatics, Systems Biology, and Medicine; and Director, Clinical Informatics
Columbia University

Moderator(s)

Nicholas P. Tatonetti, PhD

Associate Professor of Biomedical Informatics, Departments of Biomedical Informatics, Systems Biology, and Medicine; and Director, Clinical Informatics
Columbia University

Faculty Member(s)

Nicholas P. Tatonetti, PhD

Associate Professor of Biomedical Informatics, Departments of Biomedical Informatics, Systems Biology, and Medicine; and Director, Clinical Informatics
Columbia University