Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5734314 | Journal of Surgical Research | 2017 | 27 Pages |
Abstract
A Bayesian network coupled with NLP has the potential to be used in real-time SSI surveillance. Moreover, surgeons identified CM-SSI not captured under current NSQIP definitions. Future efforts to expand CM-SSI identification may lead to improved and potentially automated approaches to survey for postoperative SSI in clinical practice.
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Authors
Sunghwan PhD, David W. MD, Elizabeth B. PhD, James M. ScD, Jasim Y. MD, Hongfang PhD,