Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

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作者： Patrick C,Sanger ^[1] ; Marion,Granich ^[2] ; Robin,Olsen-Scribner ^[2] ; Rupali,Jain ^[2] ; William B,Lober ^[2] ; Ann,Stapleton ^[2] ; Paul S,Pottinger ^[2]

作者单位： UCSF, San Francisco, CA. ^[1] University of Washington, Seattle, WA. ^[2]

主题词算法(Algorithms);导管相关性感染(Catheter-Related Infections);交叉感染(Cross Infection);数据挖掘(Data Mining);文献工作(Documentation);电子健康病历(Electronic Health Records);人类(Humans);监测, 生理学(Monitoring, Physiologic);自然语言处理(Natural Language Processing);前瞻性研究(Prospective Studies);泌尿道感染(Urinary Tract Infections)

PMID 29854220

发布时间 2019-12-10

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AMIA ... Annual Symposium proceedings. AMIA Symposium

2017年2017卷

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Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium

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AMIA ... Annual Symposium proceedings. AMIA Symposium

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Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium

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AMIA ... Annual Symposium proceedings. AMIA Symposium

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