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Application of Text Mining Methodologies to Health Insurance Schedules

Application of Text Mining Methodologies to Health Insurance Schedules

Ah Chung Tsoi, Phuong Kim To, Markus Hagenbuchner
Copyright: © 2006 |Pages: 23
ISBN13: 9781591408277|ISBN10: 159140827X|ISBN13 Softcover: 9781591408284|EISBN13: 9781591408291
DOI: 10.4018/978-1-59140-827-7.ch002
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MLA

Tsoi, Ah Chung, et al. "Application of Text Mining Methodologies to Health Insurance Schedules." Advances in Applied Artificial Intelligence, edited by John Fulcher, IGI Global, 2006, pp. 29-51. https://doi.org/10.4018/978-1-59140-827-7.ch002

APA

Tsoi, A. C., To, P. K., & Hagenbuchner, M. (2006). Application of Text Mining Methodologies to Health Insurance Schedules. In J. Fulcher (Ed.), Advances in Applied Artificial Intelligence (pp. 29-51). IGI Global. https://doi.org/10.4018/978-1-59140-827-7.ch002

Chicago

Tsoi, Ah Chung, Phuong Kim To, and Markus Hagenbuchner. "Application of Text Mining Methodologies to Health Insurance Schedules." In Advances in Applied Artificial Intelligence, edited by John Fulcher, 29-51. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-827-7.ch002

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Abstract

This chapter describes the application of a number of text mining techniques to discover patterns in the health insurance schedule with an aim to uncover any inconsistency or ambiguity in the schedule. In particular, we will apply first a simple “bag of words” technique to study the text data, and to evaluate the hypothesis: Is there any inconsistency in the text description of the medical procedures used? It is found that the hypothesis is not valid, and hence the investigation is continued on how best to cluster the text. This work would have significance to health insurers to assist them to differentiate descriptions of the medical procedures. Secondly, it would also assist the health insurer to describe medical procedures in an unambiguous manner.

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