This session will provide a clear understanding of key Machine Learning (ML) concepts, methods and techniques by showcasing applications for ..
supporting clinical practice, clinical research and healthcare service delivery. Using these case studies, we will explore design considerations according to application context (e.g. diagnosis and treatment selection), we will discuss how to approach the implementation of suitable ML methods (e.g. decision trees and neural networks), and finally we will study appropriate application evaluation strategies. Currently he is a Senior Data Scientist at Cegedim RX, where he leads data science methodological and technical aspects of using the Cegedim THIN dataset. We are very grateful to Dionisio and the team at Cegedim for sharing their time and expertise for the benefit of BHBIA members.
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