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Making Sense of Big Health Data through Visual Analytics and Machine Learning

April 1, 2016

Amar K. Das, MD, PhD
Associate Professor of Biomedical Data Science, Psychiatry, and The Dartmouth Institute for Health Policy and Clinical Practice
Director, Division of Biomedical Informatics, Department of Biomedical Data Science
Director, Biomedical Informatics Core, SYNERGY Clinical and Translational Science Institute
Head, Informatics Collaboratory for Design, Development, and Dissemination, Geisel School of Medicine at Dartmouth

About the Presentation: The speed by which we can generate and gather Big Health Data from health systems, social media, high throughput technologies and other sources has quickly outpaced our ability to use that complex data effectively and rapidly. We are in need of new data science methods by which health data consumers, such as policy makers, healthcare providers and patients, can find meaningful, actionable information. In this presentation, Dr. Das will discuss research in the Social Computing & Health Informatics Lab (SCHI Lab) to develop new visual analytics and machine learning approaches for Big Health Data that is deep, longitudinal, and heterogeneous. Dr. Das will demonstrate the application of our methods to breast cancer care and relate these efforts to mental health care and behavioral research as well.

About the Presenter:  Dr. Das received his M.D. and Ph.D. in Biomedical Informatics from Stanford University, and completed a research-track residency in psychiatry at Columbia University/New York State Psychiatric Institute. Prior to joining the faculty of the Geisel School of Medicine at Dartmouth in 2012, he was an Assistant Professor of Medicine (Division of Biomedical Informatics) and of Psychiatry and Behavioral Sciences at Stanford University.   In 2014, Dr. Das became the founding Director of the Division of Biomedical Informatics in the newly established Department of Biomedical Data Science at Dartmouth. He is also Associate Professor of Psychiatry and of The Dartmouth Institute of Health Policy and Clinical Practice.  Dr. Das has received several best paper awards for his research on database methods, data mining, and knowledge management.