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Harnessing "Big Data" to Stop HIV (Day 1)

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Air date: Monday, July 13, 2015, 12:00:00 PM
Time displayed is Eastern Time, Washington DC Local
Views: Total views: 432, (133 Live, 299 On-demand)
Category: Conferences
Runtime: 04:53:21
Description: Meeting Objectives

• Identify types and sources of data that can be used to optimize HIV treatment and prevention strategies
• Consider ethical challenges to using “big data” sources
• Examine methods for collecting, integrating, and analyzing large databases and how they can be optimized for HIV epidemiology, treatment, and prevention
• Generate recommendations for advancing the use of large data sources to develop increasingly effective HIV treatment and prevention strategies
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NLM Title: Harnessing "big data" to stop HIV / David Burns, Carlie Williams, Bill and Melinda Gates Foundation, and BD2K, NIH.
Author: Burns, David.
Williams, Carolyn Masters.
National Institute of Allergy and Infectious Diseases (U.S.),
Bill & Melinda Gates Foundation,
NIH Big Data to Knowledge (Program),
Publisher:
Abstract: (CIT): Identify types and sources of data that can be used to optimize HIV treatment and prevention strategies. Consider ethical challenges to using "big data" sources. Examine methods for collecting, integrating, and analyzing large databases and how they can be optimized for HIV epidemiology, treatment, and prevention. Generate recommendations for advancing the use of large data sources to develop increasingly effective HIV treatment and prevention strategies.
Subjects: Data Mining--methods
Databases as Topic
HIV Infections--prevention & control
Health Information Management--methods
Publication Types: Lecture
Webcasts
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Caption Text: Download Caption File
NLM Classification: WC 503.6
NLM ID: 101665644
CIT Live ID: 16520
Permanent link: https://videocast.nih.gov/launch.asp?19099