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Health Services Data: Big Data Analytics for Deriving Predictive Healthcare Insights
[chapter]
2016
Data and Measures in Health Services Research
This chapter describes the application of big data analytics in healthcare, particularly on electronic healthcare records so as to make predictive models for healthcare outcomes and discover interesting insights. A typical workflow for such predictive analytics involves data collection, data transformation, predictive modeling, evaluation, and deployment, with each step tailored to the end goals of the project. To illustrate each of these steps, we shall take the example of recent advances in
doi:10.1007/978-1-4899-7673-4_2-1
fatcat:u2yxqcrpnfdsfhh72jkmhb4gji