Considerations & Limitations for Clinical Data

Isaac Kohane, presents a webinar titled "Considerations & Limitations for Clinical Data." Abstract Some data are more equal than others. In addition to measuring the patient's health state, much of the data that we gather also provides strong indications of what the doctors were thinking or worried about. In this lecture, we will describe how taking advantage of this insight allows us to have a better diagnostic and predictive power in population health studies. Presenter Isaac Kohane, MD, PhD is the inaugural Chair of the Department of Biomedical Informatics and the Marion V. Nelson Professor of Biomedical Informatics at Harvard Medical School. He develops and applies computational techniques to address disease at multiple scales—from whole healthcare systems as “living laboratories” to the functional genomics of neurodevelopment with a focus on autism. Kohane’s i2b2 project is currently deployed internationally to over 120 major academic health centers to drive discovery research in disease and pharmacovigilance (including providing evidence on drugs which ultimately contributed to “black box”ing by the FDA). Dr. Kohane has published several hundred papers in the medical literature and authored a widely-used book on Microarrays for an Integrative Genomics. He is a member of the Institute of Medicine and the American Society for Clinical Investigation. Download presentation slides: https://drive.google.com/open?id=0B4IAKVDZz_JUZHVHVGpaMUJjemc Visit our webpage to see the lecture schedule and learn how to join our next live lecture: http://www.bigdatau.org/data-science-seminars