Machine learning in the real-world evidence and HEOR fields: an interview with Turgay Ayer, Jag Chhatwal and Selin Merdan

Artificial intelligence and machine learning Health economics ISPOR Look behind the lecture Outcomes research Real-world evidence

In this joint interview feature, following their workshop delivered at the International Society for Pharmacoeconomics and Outcomes Research’s 2020 Asia Pacific meeting (Virtual ISPOR Asia Pacific 2020; 14–16 September), Turgay Ayer (Georgia Tech, GA, USA), Jag Chhatwal (Massachusetts General Hospital, MA, USA) and Selin Merdan (Value Analytics Lab, GA, USA) discuss the practicalities of applying machine learning (ML) in the real-world evidence and health economics and outcomes research (HEOR) fields. Please could you introduce yourselves? Turgay Ayer: I am the Director of Business Intelligence and Healthcare Analytics at the Center for Health and Humanitarian Systems and Early Career Professor of...

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