Abstract
With more healthcare providers adopting an electronic medical record, with the ready availability of insurance claims data, and with the availability of government sponsored healthcare databases, it is possible to use data mining and analytic tools to investigate optimal treatment decisions in medical practice. In this chapter, we present several data mining tools that can be used to investigate health outcomes, and we then provide a sample analysis of healthcare data to demonstrate their use. The tools include market basket analysis, text analysis, and predictive modeling. We use these tools to investigate cancer treatments. The need to analyze real data is particularly necessary with the increased prominence of comparative effectiveness analysis.
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Acknowledgment
The author wishes to acknowledge the support of Dr. John Cerrito, PharmD, concerning the nature and effects of the drugs discussed in this chapter.
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Cerrito, P. (2013). Clinical Data Mining to Discover Optimal Treatment Patterns. In: Pardalos, P., Georgiev, P., Papajorgji, P., Neugaard, B. (eds) Systems Analysis Tools for Better Health Care Delivery. Springer Optimization and Its Applications, vol 74. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5094-8_6
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DOI: https://doi.org/10.1007/978-1-4614-5094-8_6
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