title: Analytic Strategies of Streaming Data for eHealth.
abstract: New analytic strategies for streaming big data from wearable devices and social media are emerging in ehealth. We face challenges to find meaningful patterns from big data because researchers face difficulties to process big volume of streaming data using traditional processing applications.1 This introductory 180 minutes tutorial offers hand-on instruction on analytics2 (e.g., topic modeling, social network analysis) of streaming data. This tutorial aims to provide practical strategies of information on reducing dimensionality using examples of big data. This tutorial will highlight strategies of incorporating domain experts and a comprehensive approach to streaming social media data.
authors.affiliation: Columbia University, School of Nursing, Division of General Medicine, Sy2102@columbia.edu.
authors.forename: Sunmoo
authors.initials: S
authors.lastname: Yoon
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D057225:Data Mining / Q000379:methods*; D066264:Datasets as Topic / Q000706:statistics & numerical data*; D062527:Meaningful Use / Q000458:organization & administration*; D015233:Models, Statistical; D061108:Social Media / Q000706:statistics & numerical data*; D014584:User-Computer Interface