Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
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Data Scientist, ProKarma

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Emily Spahn is a data scientist at ProKarma. Emily enjoys leveraging data to solve a wide range of problems. Previously, she worked as a civil engineer with a focus on hydraulic and hydrologic modeling and has worked in government, private industry, and academia over her career. Emily holds degrees in physics and environmental engineering.

Sessions

11:50am12:30pm Thursday, March 16, 2017
Business case studies, Strata Business Summit
Location: 210 D/H Level: Intermediate
Secondary topics:  Data for good, Healthcare
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Average rating: ****.
(4.25, 4 ratings)
Many hospitals combine early warning systems with rapid response teams (RRT) to detect patient decline and respond with elevated care. Predictive models can minimize RRT events by identifying at-risk patients, but modeling is difficult because events are rare and features are varied. Emily Spahn explores the creation of one such patient-risk model and shares lessons learned along the way. Read more.