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2018 Pilot Awards for Global Brain Health Leaders (GBHI)

Statistical learning to track dementia in population based surveys

Laurent Cleret de Langavant, MD, Ph.D.
Association Robert Debré pour la Recherche Médicale
Paris , France

Dr. Langavant’s project will use big data sets from population-based surveys and implement a computer science technique called machine learning to track the prevalence of dementia and its contributing factors. The machine learning technique focuses on the design of systems that can learn from and make decisions and predictions based on data. There are twelve similar surveys worldwide and together these constitute the Health and Retirement Study family study (National Institute on Aging sponsored) that contain a rich source of information about the health and economic well-being of adults over the age of 50. Dr. Langavant proposes to make use of this data set and create algorithms to identify individuals at high risk of dementia in resource-poor areas where neurological expertise is lacking.

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