Induction for Radiology Patients

Pınar Yıldırım; Mehmet Tolun

Electronic Healthcare. First International Conference, eHealth 2008, London, UK, September 8-9, 2008. Revised Selected Papers

Research Article

Induction for Radiology Patients

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@INPROCEEDINGS{10.1007/978-3-642-00413-1_30,
    author={Pınar Yıldırım and Mehmet Tolun},
    title={Induction for Radiology Patients},
    proceedings={Electronic Healthcare. First International Conference, eHealth 2008, London, UK, September 8-9, 2008. Revised Selected Papers},
    proceedings_a={E-HEALTH},
    year={2012},
    month={5},
    keywords={Medical Decision Making Radiology Information System Radiology Data Mining Knowledge Extraction},
    doi={10.1007/978-3-642-00413-1_30}
}

Pınar Yıldırım
Mehmet Tolun
Year: 2012
Induction for Radiology Patients
E-HEALTH
Springer
DOI: 10.1007/978-3-642-00413-1_30

Pınar Yıldırım¹^,*, Mehmet Tolun¹^,*

1: C̱ankaya University

*Contact email: pinar@cankaya.edu.tr, tolun@cankaya.edu.tr

Abstract

This paper represents the implementation of an inductive learning algorithm for patients of Radiology Department in Hacettepe University hospitals to discover the relationship between patient demographics information and time that patients spend during a specific radiology exam. ILA has been used for the implementation which generates rules and the results are evaluated by evaluation metrics. According to generated rules, some patients in different age groups or birthplaces may spend more time for the same radiology exam than the others.

Keywords: Medical Decision Making Radiology Information System Radiology Data Mining Knowledge Extraction

Published: 2012-05-09

: http://dx.doi.org/10.1007/978-3-642-00413-1_30