This course will allow students to explore the concept of big data and the analytic and clinical challenges it presents. Lessons will cover the challenges in capturing, storing, searching, sharing and analyzing big data including sources such as electronic health records, clinical notes, medical imaging data, genetic data, pharmacy data, and administrative data (ICD-9 codes and billing data). Current advances in data science, information extraction and predictive modeling will also be examined.
Prerequisites
MSBI 31300: Concepts in Computer Programming and MSBI 31800: Introduction to Applied Data Analysis, or MSBI 32000: Intermediate Applied Data Analysis
