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)
- ,
- ,
- ,
- ,
- ,
- 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