Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8651017 | American Heart Journal | 2018 | 11 Pages |
Abstract
We demonstrated that natural language processing technology sorted through raw MAUDE data, allowing identification of the most common events associated with TAVR and Mitraclip procedures, and that MAUDE-derived event rates were not statistically significantly different from TVT event rates. This technology has important public health implications because it improves postmarket surveillance of implantable devices and permits rapid and early dissemination of vital information.
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Authors
Benjamin Z. MD, MPH, David E. MA, Gregory PhD, Libbe L. PhD,