9 引文 斯高帕斯(Scopus)

摘要

The ability to analyze and assimilate Electronic Medical Records (EMR) has great value to physicians, clinical researchers, and medical policy makers. Current EMR systems do not provide adequate support for fully exploiting the data. The growing size, complexity, and accessibility of EMRs demand a new set of tools for extracting knowledge of interest from the data. This paper presents an interactive visual mining solution for cohort study of EMRs. The basis of our design is multidimensional, visual aggregation of the EMRs. The resulting visualizations can help uncover hidden structures in the data, compare different patient groups, determine critical factors to a particular disease, and help direct further analyses. We introduce and demonstrate our design with case studies using EMRs of 14,567 Chronic Kidney Disease (CKD) patients.
原文英語
主出版物標題Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面521-528
頁數8
ISBN(列印)9781479956692
DOIs
出版狀態已發佈 - 十二月 29 2014
事件2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 - Belfast, 英国
持續時間: 十一月 2 2014十一月 5 2014

其他

其他2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
國家英国
城市Belfast
期間11/2/1411/5/14

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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