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January 2020: How to Read Articles That Use Machine Learning: Users’ Guides to the Medical Literature

Featuring Avirup Guha MD, RPVI,FACC

01 January, 2020

Watch the video of this event on our YouTube channel.

Speakers

Dr. Avirup Guha

MD, RPVI,FACC

Dr. Guha is a cardiologist at the Harrington Heart and Vascular Institute and Assistant Professor of Medicine at Case Western Reserve University

Dr. Avirup Guha presented a journal club on a recent JAMA article titled : “How to Read Articles That Use Machine Learning: Users’ Guides to the Medical Literature – by Liu et al” (JAMA. 2019;322(18):1806-1816.doi:10.1001/jama.2019.16489).”

Dr. Guha is a cardiologist at the Harrington Heart and Vascular Institute and Assistant Professor of Medicine at Case Western Reserve University. Dr. Guha completed his Cardiology fellowship at the Ohio State University. He is board certified in cardiovascular disease and multiple cardiac imaging modalities. Dr. Guha is an expert in cardio-oncology and is widely published in that field. His research focuses on using traditional statistical models in studying cardiovascular outcomes using large national datasets. He is a programmer in SAS and has been pro-gramming in Python recently to create a tweetbot for covering literature in the field of cardio-oncology. Dr. Guha has published more than 60 peer-reviewed manuscripts, scientific abstracts, and book chapters. He is highly collaborative with his current research spanning over 8-9 national and international institutions. Dr. Guha is a peer-reviewer for Journal of American Heart Association, Journal of American College of Cardiology, JACC: CardioOncology among others. Dr. Guha believes in the theory of being trilingual i.e. all physicians working in the field of population and clinical research should expertly communicate ideas between clinical colleagues, biosta-tisticians and data scientists to increase efficiency of research and development of tools for tak-ing care of patients