ゴトビ ナデル   GHOTBI Nader
  ゴトビ ナデル
   所属   立命館アジア太平洋大学  アジア太平洋学部
   職種   教授
言語種別 英語
発行・発表の年月 2011/08
形態種別 大学・研究所紀要
査読 査読あり
標題 Hybrid Approach to Data Mining Radiological Medical Records
執筆形態 共著
掲載誌名 Geoinformatics Research Center Publications
著者・共著者 William Claster, Subana Shanmuganathan and Nader Ghotbi
概要 Here we develop a hybrid
methodology for the analysis of medical records that
consist of clinicians’ notes (requesting for a scan) using
statistical tools and Kohonen’s self-organizing map
(SOM) text mining techniques to look for heretofore
invisible patterns to save patients from unwarranted
scans. The medical data derive from patients’ radiology
department records where CT (Computed Tomography)
scanning was used as part of a diagnostic exploration.
The records are from the digital records of about 700
pediatric patients who underwent CT scanning (single
and multiple) through a one-year period in 2004 at the
Nagasaki University Medical Hospital in Japan. This
approach led to a model based on SOM clusters and
statistical analysis which allow for the prediction of when
a particular medical screening procedure may be
unnecessary. The procedure involves CT scans of
patients.
Note: This is important because radiation at levels
ordinarily used for CT scanning may pose significant
health risks especially to children.