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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

Healthcare Data Mining, Association Rule Mining, and Applications

verfasst von : Chih-Wen Cheng, May D. Wang

Erschienen in: Health Informatics Data Analysis

Verlag: Springer International Publishing

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Abstract

In this chapter, we first introduce data mining in general by summarizing popular data mining algorithms and their applications demonstrated in real healthcare settings. Afterward, we move our focus on a mining technique called association rule mining that can provide a more flexible data mining solution for personalized and evidence-based clinical decision support. Feasibility on how to use association rule mining is offered along with one example. The chapter concludes with a discussion of challenges that hamper the clinical use of conventional association rule mining and a few point-by-point solutions are provided.

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Vorheriges Kapitel Computational Infrastructure for Telehealth
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Metadaten
Titel
Healthcare Data Mining, Association Rule Mining, and Applications
verfasst von
Chih-Wen Cheng
May D. Wang
Copyright-Jahr
2017
Buch
Health Informatics Data Analysis

Print ISBN: 978-3-319-44979-1

Electronic ISBN: 978-3-319-44981-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-44981-4_13

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