Clinical Data Mining to Discover Optimal Treatment Patterns

Patricia Cerrito
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Patricia Cerrito: University of Louisville

A chapter in Systems Analysis Tools for Better Health Care Delivery, 2013, pp 99-130 from Springer

Abstract: 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.

Keywords: Singular Value Decomposition; Association Rule; Target Density; Metastatic Colon Cancer; Text String (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4614-5094-8_6

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DOI: 10.1007/978-1-4614-5094-8_6

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