How and why would you do data science in health?

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• Dr Philippe Giabbanelli, Investigator Scientist, Centre for Diet and Activity Research (CEDAR), University of Cambridge
• Monday 16 March 2015, 15:00-16:30
• Large Seminar Room, 1st Floor, Cambridge Institute of Public Health.

If you have a question about this talk, please contact Signe Wulund.

“Data science” covers a wide range of methods. These include finding patterns in the data through interactive visualizations, systematically assessing these patterns using data mining, or going beyond the data via simulations. In this talk, I will provide a broad overview of these different methods and the type of questions that they can be used for. Examples will be provided through my work in health, including research on data science in obesity and binge drinking. No prior knowledge about the methods is required as the talk aims to provide a broad introduction, but advanced questions are also encouraged.

This talk is part of the MRC Epidemiology and CEDAR Seminars series.

This talk is included in these lists:

• Annual Food Agenda
• BHRU Annual Lecture 2015
• BHRU Annual Lecture 2016
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge Global Food Security
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• Cardiovascular Epidemiology Unit Special Seminars
• Chris Davis' list
• Creating transparent intact animal organs for high-resolution 3D deep-tissue imaging
• Department of Public Health and Primary Care
• Interested Talks
• Large Seminar Room, 1st Floor, Cambridge Institute of Public Health
• MRC Epidemiology and CEDAR Seminars
• Primary Care
• PublicHealth@Cambridge
• Talks related to sustainability and the environment
• Trust & Technology Initiative - interesting events
• bld31
• history
• ndk22's list
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• rp587

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