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Medicine is undergoing a renaissance that is made possible by analyzing and creating insights from this huge and growing number of genomes. Personalized medicine is simply the practical application of these insights.
In this session, I will show how ETL and MapReduce can be applied in a clinical setting. I will also show how NoSQL and advanced analytics can be used to "reverse engineer" the genetic causes of disease. Such information can be used to predict and prevent individual suffering, as well as to increase the overall health of a society.
KEYWORDS: Healthcare, Use Cases, Genomics, Machine Learning
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North America. Please refer to theMapR Talks Directory for specific countries.
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