Abstract
This chapter provides an overview of many descriptive, predictive, and prescriptive analytics applications in healthcare. Specific algorithms are chosen to illustrate each type of analytic approach. In descriptive analytics, we cover simple descriptive statistics. In predictive analytics, we cover
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A detailed logistic progression application to illustrate regression analysis
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Three applications covering decision trees, Naïve Bayes, and natural language processing, to illustrate classification techniques
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Two applications using K-means and hierarchical clustering to illustrate clustering techniques
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One dimensionality reduction application to illustrate dimension reduction techniques
Finally, one application illustrates the nascent prescriptive analytics. At the end of the chapter, a set of statistical tools is provided.
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El Morr, C., Ali-Hassan, H. (2019). Healthcare Analytics Applications. In: Analytics in Healthcare. SpringerBriefs in Health Care Management and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-04506-7_4
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