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Medicine: Mind the Gap Seminar, Big Data and the Promise and Pitfalls When Applied to Disease Prevention and Promoting Better Health

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Air date: Monday, June 13, 2016, 1:30:00 PM
Time displayed is Eastern Time, Washington DC Local
Views: Total views: 487, (366 Live, 121 On-demand)
Category: Medicine: Mind the Gap
Runtime: 00:58:51
Description: Medicine: Mind the Gap Seminar

Big Data is an overused term, but it does speak to a break from the past in the amount and complexity of data being gathered and analyzed, as well as in the methods applied to that data. How disruptive will Big Data be in the long run to biomedical research and health care? Dr. Bourne will address this question in light of the Big Data to Knowledge (BD2K) initiative and other trans-NIH data science programs.

Dr. Bourne’s research focuses on biological and educational outcomes derived from computation and scholarly communication through algorithms, text mining, machine learning, meta-languages, biological databases, and visualization applied to problems in systems pharmacology, evolution, cell signaling, apoptosis, immunology, and scientific dissemination. He served as a President of the International Society for Computational Biology and is an elected fellow of the American Association for the Advancement of Science (AAAS), the International Society for Computational Biology (ISCB), and the American Medical Informatics Association (AMIA).

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For more information go to https://prevention.nih.gov/programs-events/medicine-mind-the-gap
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NLM Title: Big data and the promise and pitfalls when applied to disease prevention and promoting better health / Philip E. Bourne.
Author: Bourne, Philip E.
National Institutes of Health (U.S.),
Publisher:
Abstract: (CIT): Medicine: Mind the Gap Seminar Big Data is an overused term, but it does speak to a break from the past in the amount and complexity of data being gathered and analyzed, as well as in the methods applied to that data. How disruptive will Big Data be in the long run to biomedical research and health care? Dr. Bourne will address this question in light of the Big Data to Knowledge (BD2K) initiative and other trans-NIH data science programs. Dr. Bourne"s research focuses on biological and educational outcomes derived from computation and scholarly communication through algorithms, text mining, machine learning, meta-languages, biological databases, and visualization applied to problems in systems pharmacology, evolution, cell signaling, apoptosis, immunology, and scientific dissemination. He served as a President of the International Society for Computational Biology and is an elected fellow of the American Association for the Advancement of Science (AAAS), the International Society for Computational Biology (ISCB), and the American Medical Informatics Association (AMIA).
Subjects: Computational Biology--methods
Health Promotion
Preventive Health Services
Publication Types: Lectures
Webcasts
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Caption Text: Download Caption File
NLM Classification: QU 26.5
NLM ID: 101686959
CIT Live ID: 18987
Permanent link: https://videocast.nih.gov/launch.asp?19748