The Community for Technology Leaders
2016 IEEE 6th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) (2016)
Atlanta, GA, USA
Oct. 13, 2016 to Oct. 15, 2016
ISSN: 2473-4659
ISBN: 978-1-5090-4200-5
pp: 1-6
Ankit Agrawal , Department of Electrical Engineering and Computer Science, Northwestern University, 2145 Sheridan Rd, Evanston, IL 60201, USA
Jason Scott Mathias , Northwestern Memorial Hospital, Northwestern University, 2145 Sheridan Rd, Evanston, IL 60201, USA
David Baker , Northwestern Memorial Hospital, Northwestern University, 2145 Sheridan Rd, Evanston, IL 60201, USA
Alok Choudhary , Department of Electrical Engineering and Computer Science, Northwestern University, 2145 Sheridan Rd, Evanston, IL 60201, USA
ABSTRACT
Understanding the prognosis of older adults is a big challenge in healthcare research, especially since very little is known about how different comorbidities interact and influence the prognosis. Recently, a electronic healthcare records dataset of 24 patient attributes from Northwestern Memorial Hospital was used to develop predictive models for five year survival outcome. In this study we analyze the same data for discovering hotspots with respect to five year survival using association rule mining techniques. The goal here is to identify characteristics of patient segments where the five year survival fraction is significantly lower/higher than the survival fraction across the entire dataset. A two-stage post-processing procedure was used to identify non-redundant rules. The resulting rules conform with existing biomedical knowledge and provide interesting insights into prognosis of older adults. Incorporating such information into clinical decision making could advance person-centered healthcare by encouraging optimal use of healthcare services to those patients most likely to benefit.
INDEX TERMS
older adults, Association rule mining, hotspots, prognosis
CITATION

A. Agrawal, J. S. Mathias, D. Baker and A. Choudhary, "Identifying hotspots in five year survival electronic health records of older adults," 2016 IEEE 6th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), Atlanta, GA, USA, 2016, pp. 1-6.
doi:10.1109/ICCABS.2016.7802773
185 ms
(Ver 3.3 (11022016))