Top Medical Informatics Experts
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Chief Information Officer · Cleveland Clinic
Using IT strategically and effectively is the prescription for improving patient outcomes and reducing healthcare costs
Associate Professor, School of Information and Library Science, and Assistant Director, Carolina Health Informatics Program (CHIP) · University of North Carolina at Chapel Hill
Conducts research related to the study and development of visual methods for information analysis and communication.
Assistant Professor · VCU College of Engineering
Dr. Krawczyk's areas of research are machine learning, data stream mining, medical informatics, big data, and computer vision.
Machine learning: ensembles, imbalanced data, one-class classification, kernel methods. Data stream mining: concept drift, active learning, online classification and regression. Big data: mining massive datasets, efficient and scalable learning algorithms Medical informatics: clinical decision support, mining ubiquitous environments, activity recognition. Computer vision: deep learning, object detection, tensor methods, underwater image analysis.
Distinguished Professor, Computer Science · New Jersey Institute of Technology
Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity
Associate Professor · Department of Occupational Science and Occupational Therapy, University of Toronto
Dr Mihailidis has been conducting research in the field of pervasive computing and intelligent systems in health for the past 15 years,
Professor and Director, Undergraduate Biomedical Engineering Program · New Jersey Institute of Technology
Professor Alvarez conducts neuroscience research for helping patients recover their vision and for diagnosing other visual diseases.
Chief Medical Information Officer · Cleveland Clinic
Challenging audiences to discover how analysis of “big data” can be used to transform healthcare, from practice redesign to new markets