A visual analysis approach to cohort study of electronic patient records

Chun Fu Wang; Jianping Li; Kwan Liu Ma; Chih Wei Huang; Yu Chuan Li

doi:10.1109/BIBM.2014.6999214

A visual analysis approach to cohort study of electronic patient records

Chun Fu Wang
, Jianping Li
, Kwan Liu Ma
, Chih Wei Huang
, Yu Chuan Li

研究成果: 書貢獻/報告類型 › 會議貢獻

13 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
編輯	Huiru Zheng, Xiaohua Tony Hu, Daniel Berrar, Yadong Wang, Werner Dubitzky, Jin-Kao Hao, Kwang-Hyun Cho, David Gilbert
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	521-528
頁數	8
ISBN（電子）	9781479956692
DOIs	https://doi.org/10.1109/BIBM.2014.6999214
出版狀態	已發佈 - 12月 29 2014
事件	2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 - Belfast, 英國持續時間: 11月 2 2014 → 11月 5 2014

出版系列

名字	Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

其他

其他	2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
國家/地區	英國
城市	Belfast
期間	11/2/14 → 11/5/14

UN SDG

此研究成果有助於以下永續發展目標

SDG 3 良好的健康和福祉

ASJC Scopus subject areas

生物醫學工程
健康資訊學

存取文件

10.1109/BIBM.2014.6999214

其它文件與鏈接

Link to publication in Scopus

引用此

Wang, C. F., Li, J., Ma, K. L., Huang, C. W., & Li, Y. C. (2014). A visual analysis approach to cohort study of electronic patient records. 於 H. Zheng, X. T. Hu, D. Berrar, Y. Wang, W. Dubitzky, J.-K. Hao, K.-H. Cho, & D. Gilbert (編輯), Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 (頁 521-528). 文章 6999214 (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2014.6999214

A visual analysis approach to cohort study of electronic patient records. / Wang, Chun Fu; Li, Jianping; Ma, Kwan Liu 等.
Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014. 編輯 / Huiru Zheng; Xiaohua Tony Hu; Daniel Berrar; Yadong Wang; Werner Dubitzky; Jin-Kao Hao; Kwang-Hyun Cho; David Gilbert. Institute of Electrical and Electronics Engineers Inc., 2014. p. 521-528 6999214 (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014).

研究成果: 書貢獻/報告類型 › 會議貢獻

Wang, CF, Li, J, Ma, KL, Huang, CW & Li, YC 2014, A visual analysis approach to cohort study of electronic patient records. 於 H Zheng, XT Hu, D Berrar, Y Wang, W Dubitzky, J-K Hao, K-H Cho & D Gilbert (編輯), Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014., 6999214, Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014, Institute of Electrical and Electronics Engineers Inc., 頁 521-528, 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014, Belfast, 英國, 11/2/14. https://doi.org/10.1109/BIBM.2014.6999214

Wang CF, Li J, Ma KL, Huang CW , Li YC. A visual analysis approach to cohort study of electronic patient records. 於 Zheng H, Hu XT, Berrar D, Wang Y, Dubitzky W, Hao JK, Cho KH, Gilbert D, 編輯, Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 521-528. 6999214. (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014). doi: 10.1109/BIBM.2014.6999214

Wang, Chun Fu ; Li, Jianping ; Ma, Kwan Liu 等. / A visual analysis approach to cohort study of electronic patient records. Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014. 編輯 / Huiru Zheng ; Xiaohua Tony Hu ; Daniel Berrar ; Yadong Wang ; Werner Dubitzky ; Jin-Kao Hao ; Kwang-Hyun Cho ; David Gilbert. Institute of Electrical and Electronics Engineers Inc., 2014. 頁 521-528 (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014).

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abstract = "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.",

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A visual analysis approach to cohort study of electronic patient records

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ASJC Scopus subject areas

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