MISC

査読有り
2016年

Revealing Oral Medication Patterns from Reconstructed Long-Term Medication History of Type 2 Diabetes

2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
  • Purnomo Husnul Khotimah
  • ,
  • Yuichi Sugiyama
  • ,
  • Masatoshi Yoshikawa
  • ,
  • Akihiro Hamasaki
  • ,
  • Kazuya Okamoto
  • ,
  • Tomohiro Kuroda

開始ページ
5599
終了ページ
5603
記述言語
英語
掲載種別
研究発表ペーパー・要旨(国際会議)
DOI
10.1109/EMBC.2016.7591996
出版者・発行元
IEEE

With the growing attention to evidence-based medical guideline development, longitudinal analysis of Electronic Medical Records (EMR) has become a good tool for providing insight into and new knowledge on the existing therapy. For chronic diseases, longitudinal analysis of medication history plays a key role in reaching this goal. However, raw medication data in EMR are not suitable for longitudinal analysis for several reasons. First, many prescriptions have a short duration. Second, the prescription duration may have a gap or overlap with other prescription durations. Additionally, for diabetes cases, physicians must wait for a certain period to observe the effectiveness of the medication. However, the existing methods do not address these conditions. To tackle these issues, we propose a set of rules for medication episode reconstruction. We then apply the rules for longitudinal analysis on anonymous Type 2 diabetes patients' EMR provided by Kyoto University Hospital. The EMR span from 2000 to 2015. Two of our significant results are as follows: (1) our proposed medication episode reconstruction method is able to compress the search space into 23.83% compared to the raw data, and (2) the preliminary results show the benefits of the method in revealing the existing medication patterns over the years and unfamiliar therapy transition.

リンク情報
DOI
https://doi.org/10.1109/EMBC.2016.7591996
DBLP
https://dblp.uni-trier.de/rec/conf/embc/KhotimahSYHOK16
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000399823505231&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/conf/embc/embc2016.html#conf/embc/KhotimahSYHOK16
ID情報
  • DOI : 10.1109/EMBC.2016.7591996
  • ISSN : 1557-170X
  • DBLP ID : conf/embc/KhotimahSYHOK16
  • Web of Science ID : WOS:000399823505231

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