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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	521-528
Number of pages	8
ISBN (Print)	9781479956692
DOIs	https://doi.org/10.1109/BIBM.2014.6999214
Publication status	Published - Dec 29 2014
Event	2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 - Belfast, United Kingdom Duration: Nov 2 2014 → Nov 5 2014

Other

Other	2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
Country	United Kingdom
City	Belfast
Period	11/2/14 → 11/5/14

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics

Access to Document

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Cite this

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. In Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 (pp. 521-528). [6999214] 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; Huang, Chih Wei ; Li, Yu Chuan.

Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 521-528 6999214.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, CF, Li, J, Ma, KL, Huang, CW & Li, YC 2014, A visual analysis approach to cohort study of electronic patient records. in Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014., 6999214, Institute of Electrical and Electronics Engineers Inc., pp. 521-528, 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014, Belfast, United Kingdom, 11/2/14. https://doi.org/10.1109/BIBM.2014.6999214

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