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Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.

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Bibliographic Details
Title:	Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.
Authors:	Bucher BT; Department of Surgery University of Utah School of Medicine, Salt Lake City, Utah., Shi J; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah., Ferraro JP; Intermountain Healthcare, Salt Lake City, Utah., Skarda DE; Department of Surgery University of Utah School of Medicine, Salt Lake City, Utah.; Intermountain Healthcare, Salt Lake City, Utah., Samore MH; Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah.; VA Salt Lake City Health Care System., Hurdle JF; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah., Gundlapalli AV; Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah., Chapman WW; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah., Finlayson SRG; Department of Surgery University of Utah School of Medicine, Salt Lake City, Utah.
Source:	Annals of surgery [Ann Surg] 2020 Oct; Vol. 272 (4), pp. 629-636.
Publication Type:	Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.; Validation Study
Journal Info:	Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0372354 Publication Model: Print Cited Medium: Internet ISSN: 1528-1140 (Electronic) Linking ISSN: 00034932 NLM ISO Abbreviation: Ann Surg Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1528-1140
DOI:	10.1097/SLA.0000000000004133