TY - GEN
T1 - Mining data on traumatic brain injury with reconstructability analysis
AU - Zwick, Martin
AU - Carney, Nancy
AU - Nettleton, Rosemary
N1 - Funding Information:
This material is based in part upon work supported by the U.S. Army Contracting Command, Aberdeen Proving Ground, Natick Contracting Division, through a contract awarded to Stanford University (W911 QY-14-C-0086), a subcontract awarded to the Brain Trauma Foundation, and a second-tier subcontract awarded to Portland State University.1
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/2
Y1 - 2018/2/2
N2 - This paper reports the analysis of data on traumatic brain injury using a probabilistic graphical modeling technique known as reconstructability analysis (RA). The analysis shows the flexibility, power, and comprehensibility of RA modeling, which is well-suited for mining biomedical data. One finding of the analysis is that education is a confounding variable for the Digit Symbol Test in discriminating the severity of concussion; another - and anomalous - finding is that previous head injury predicts improved performance on the Reaction Time test. This analysis was exploratory, so its findings require follow-on confirmatory tests of their generalizability.
AB - This paper reports the analysis of data on traumatic brain injury using a probabilistic graphical modeling technique known as reconstructability analysis (RA). The analysis shows the flexibility, power, and comprehensibility of RA modeling, which is well-suited for mining biomedical data. One finding of the analysis is that education is a confounding variable for the Digit Symbol Test in discriminating the severity of concussion; another - and anomalous - finding is that previous head injury predicts improved performance on the Reaction Time test. This analysis was exploratory, so its findings require follow-on confirmatory tests of their generalizability.
KW - OCCAM
KW - concussion
KW - data mining
KW - health care analytics
KW - information theory
KW - machine learning
KW - reconstructability analysis
KW - traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=85046132578&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046132578&partnerID=8YFLogxK
U2 - 10.1109/SSCI.2017.8280843
DO - 10.1109/SSCI.2017.8280843
M3 - Conference contribution
AN - SCOPUS:85046132578
T3 - 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017
Y2 - 27 November 2017 through 1 December 2017
ER -