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Using Hana and SageMaker to Solve for Adverse Drug Effects

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30 Oct 2019CPOL3 min read 3.9K  
Discussion of the issues of identifying adverse drug effects and how machine learn and big data techniques can solve for them.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
President Analytic Decision Systems
United States United States
Dr. Applebaum is an analytics professional with experience in architecting and implementing enterprise analytics and big data projects. He has a demonstrated ability to develop and implement decision analytics focused on increasing the bottom line. He has written numerous articles and presented at national and international conferences on analytics, data governance, IoT and big data. Experience bringing business context to analytics to impact the bottom line in a variety of industries including manufacturing, financial services and telecom. Implements new product and service concepts. Doctorate in Statistics. Proven history of bringing multimillion dollar business impacts to client companies.

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