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Application of text mining methodologies to health insurance schedules

Chapter


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.

Publication Date


  • 2008

Citation


  • Tsoi, A. C., To, P. K., & Hagenbuchner, M. (2008). Application of text mining methodologies to health insurance schedules. In Medical Informatics: Concepts, Methodologies, Tools, and Applications (Vol. 2-4, pp. 944-963). doi:10.4018/978-1-60566-050-9.ch072

International Standard Book Number (isbn) 13


  • 9781605660509

Scopus Eid


  • 2-s2.0-85018604044

Web Of Science Accession Number


Book Title


  • Medical Informatics: Concepts, Methodologies, Tools, and Applications

Start Page


  • 944

End Page


  • 963

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.

Publication Date


  • 2008

Citation


  • Tsoi, A. C., To, P. K., & Hagenbuchner, M. (2008). Application of text mining methodologies to health insurance schedules. In Medical Informatics: Concepts, Methodologies, Tools, and Applications (Vol. 2-4, pp. 944-963). doi:10.4018/978-1-60566-050-9.ch072

International Standard Book Number (isbn) 13


  • 9781605660509

Scopus Eid


  • 2-s2.0-85018604044

Web Of Science Accession Number


Book Title


  • Medical Informatics: Concepts, Methodologies, Tools, and Applications

Start Page


  • 944

End Page


  • 963