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Session 3: Part 1
Session Chair(s)
Peter Brodbin
Director of Medical Information Effectiveness
Pfizer Limited, United Kingdom
Session 3
Learning Objective : Managing the detection of Adverse Events (AEs) is an imperative in Medical Information Enquiry (MIE). To increase compliance triaging of AEs in MIEs, and to create process and resource efficiencies, we applied Artificial Intelligence (AI) methods to assist in detecting possible unreported AEs in a retrospective MIE database.
Speaker(s)
Use of Natural Language Processing and Machine Learning to detect Adverse Events in Medical Information Enquiries
Jürgen W.G. Bentz, MD, PhD, MSc
UCB SA, Belgium
Head of Medical Information & Patient Support
Human Bias in Machine Learning: How Well Do You Really Know Your Model?
Jim Box, MBA, MS
SAS Institute Inc., United States
Principal Data Scientist
Evolving Technologies: What to Expect for Artificial Intelligence in Healthcare and Curated Medical Literature
Petra Schultz, PharmD
IBM Watson Health, United States
Associate Chief Health Officer
Global Content Management Team - Successes and Challenges
Dolly Randhawa, MPharm
Pfizer Limited, United Kingdom
Global Content Manager
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