TY - CHAP M1 - Book, Section TI - Pharmacy Informatics II: Big Data A1 - Willner, Marc A. A1 - Vogan, Eric D. A2 - Malone, Patrick M. A2 - Witt, Benjamin A. A2 - Malone, Meghan J. A2 - Peterson, David M. PY - 2022 T2 - Drug Information: A Guide for Pharmacists, 7e AB - Learning ObjectivesAfter completing this chapter, the reader will be able to:Describe how relational databases collate and store data.Explain how Structured Query Language (SQL) is used to interact with relational databases to select and filter data.Illustrate data analysis techniques and methodology used to evaluate data sets.Define the differences between “little data” and “big data.”Define the “5 V’s” of big data.Explain the concept of a data warehouse and its relation to reporting and analytics.Explain the differences between and limitations of predictive analytics and machine learning.Describe basic concepts of different machine learning methodologies.Describe examples of machine learning used in health care, as well as potential future directions for machine learning in health care. SN - PB - McGraw Hill CY - New York, NY Y2 - 2024/03/28 UR - accesspharmacy.mhmedical.com/content.aspx?aid=1190462746 ER -