Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams
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Saeed Amal is an Assistant Research Professor at Northeastern University. Amal was a Postdoctoral Fellow at the Stanford University School of Medicine where he focused on the applications of artificial intelligence to improve healthcare, specifically care for cardiovascular disease. He received his PhD and MSc degree in Computer Science from the University of Haifa and a BSc degree in Computer Science from Technion. Amal has vast leadership experience in applied research from the tech industry and is a former VP of an R&D data medical startup in the field of cardiology. His research interests are the healthcare applications for artificial intelligence, including deep learning and machine learning, natural language processing (NLP), image processing, and recommender systems.
Assistant Research Professor
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Postdoctoral Fellow
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