Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Schedule: Health and Medicine sessions

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9:0012:30 Tuesday, 30 April 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15
S.P.T. Krishnan (REAN Cloud (A Hitachi Vantara company))
Provides an overview of the latest Big Data and Machine Learning serverless technologies from AWS, and a deep dive into using them to process and analyze two different datasets. The first dataset is publicly available Bureau of Labor Statistics, and the second is Chest X-Ray Image Data. Read more.
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14:5515:35 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Eitan Anzenberg (Flowcast AI)
Machine learning applications balance interpretability and performance. Linear models provide formulas to directly compare the influence of the input variables, while non-linear algorithms produce more accurate models. We utilize "what-if" scenarios to calculate the marginal influence of features per prediction and compare with standardized methods such as LIME. Read more.
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11:1511:55 Thursday, 2 May 2019
Case studies, Strata Business Summit
Location: Capital Suite 12
Fabio Ferraretto (Accenture), Tatiane Canero (Hospital Albert Einstein)
How Albert Einstein and Accenture evolved patient flow experience and efficiency with the use of applied AI, statistics and combinatorial math, allowing the hospital to antecipate E2E visibility within patient flow operations, from admission of emergency and ellective demands, to assignment and medical releases. Read more.