Efficient Identification of Postdischarge Surgical Site Infections: Use of Automated Pharmacy Dispensing Information, Administrative Data, and Medical Record Information-Reference-Cited by-同舟云学术

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Efficient Identification of Postdischarge Surgical Site Infections: Use of Automated Pharmacy Dispensing Information, Administrative Data, and Medical Record Information

Published:1999-02 Issue:2 Volume:179 Page:434-441
ISSN:0022-1899
Container-title:The Journal of Infectious Diseases
language:en
Short-container-title:J INFECT DIS

Author:

Sands Kenneth,Vineyard Gordon,Livingston James,Christiansen Cindy,Platt Richard

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

Link

http://academic.oup.com/jid/article-pdf/179/2/434/18081013/179-2-434.pdf

Cited by 62 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods;PLOS ONE;2021-09-27

2. Predicting postoperative surgical site infection with administrative data: a random forests algorithm;BMC Medical Research Methodology;2021-08-28

3. Accurate preoperative prediction of unplanned 30-day postoperative readmission using 8 predictor variables;Surgery;2019-11

4. Postoperative Wundinfektionen: Epidemiologie und Prävention;Praktische Krankenhaushygiene und Umweltschutz;2018

5. National Analysis of Unplanned Readmissions After Thoracoscopic Versus Open Lung Cancer Resection;The Annals of Thoracic Surgery;2017-12

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