Title :
Automated Classification of Computer-Based Medical Device Recalls: An Application of Natural Language Processing and Statistical Learning
Author :
Alemzadeh, Homa ; Hoagland, Richie ; Kalbarczyk, Zbigniew ; Iyer, Ravishankar K.
Author_Institution :
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
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.
Keywords :
biomedical equipment; learning (artificial intelligence); natural language processing; pattern classification; statistical analysis; MedSafe; US FDA recall database; US Food and Drug Administration recall database; automated computer-based medical device recall classification; computer-related recalls; natural language processing; natural language semantics; statistical learning; Computers; Databases; Feature extraction; Measurement; Natural language processing; Statistical learning; US Government agencies; Computer-related Failures; FDA Recalls; Medical Devices; Natural Language Processing; Statistical Learning;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Conference_Location :
New York, NY
DOI :
10.1109/CBMS.2014.134
