TY - GEN
T1 - A visual analysis approach to cohort study of electronic patient records
AU - Wang, Chun Fu
AU - Li, Jianping
AU - Ma, Kwan Liu
AU - Huang, Chih Wei
AU - Li, Yu Chuan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/29
Y1 - 2014/12/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84922824793&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84922824793&partnerID=8YFLogxK
U2 - 10.1109/BIBM.2014.6999214
DO - 10.1109/BIBM.2014.6999214
M3 - Conference contribution
AN - SCOPUS:84922824793
T3 - Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
SP - 521
EP - 528
BT - Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
A2 - Zheng, Huiru
A2 - Hu, Xiaohua Tony
A2 - Wang, Yadong
A2 - Hao, Jin-Kao
A2 - Gilbert, David
A2 - Berrar, Daniel
A2 - Cho, Kwang-Hyun
A2 - Dubitzky, Werner
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
Y2 - 2 November 2014 through 5 November 2014
ER -