TY - GEN
T1 - Automated classification of computer-based medical device recalls
T2 - 27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014
AU - Alemzadeh, Homa
AU - Hoagland, Raymond
AU - Kalbarczyk, Zbigniew
AU - Iyer, Ravishankar K.
PY - 2014
Y1 - 2014
N2 - This paper presents MedSafe, a framework for automated classification of computer-based medical device recalls. The data is collected from the U.S. Food and Drug Administration (FDA) recalls database. We combined techniques in natural language processing and statistical learning to automatically identify the computer-related recalls, by interpreting the natural language semantics of recall descriptions. We evaluated MedSafe on over 16K recall records submitted to the FDA between years 2007-2013.
AB - This paper presents MedSafe, a framework for automated classification of computer-based medical device recalls. The data is collected from the U.S. Food and Drug Administration (FDA) recalls database. We combined techniques in natural language processing and statistical learning to automatically identify the computer-related recalls, by interpreting the natural language semantics of recall descriptions. We evaluated MedSafe on over 16K recall records submitted to the FDA between years 2007-2013.
KW - Computer-related Failures
KW - FDA Recalls
KW - Medical Devices
KW - Natural Language Processing
KW - Statistical Learning
UR - http://www.scopus.com/inward/record.url?scp=84907403152&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907403152&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2014.134
DO - 10.1109/CBMS.2014.134
M3 - Conference contribution
AN - SCOPUS:84907403152
SN - 9781479944354
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 553
EP - 554
BT - Proceedings - 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, CBMS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 May 2014 through 29 May 2014
ER -