Identification of postoperative complications using electronic health record data and machine learning

Author:

Bronsert Michael,Singh Abhinav B.,Henderson William G.,Hammermeister Karl,Meguid Robert A.,Colborn Kathryn L.

Funder

Agency for Healthcare Research and Quality

Publisher

Elsevier BV

Subject

General Medicine,Surgery

Reference30 articles.

1. Using clinical variables to guide surgical site infection detection: a novel surveillance strategy;Branch-Elliman;Am J Infect Contr,2014

2. Accuracy of administrative code data for the surveillance of healthcare-associated infections: a systematic review and meta-analysis;Goto;Clin Infect Dis,2014

3. Automated detection of postoperative surgical site infections using supervised methods with electronic health record data;Hu;Stud Health Technol Inform,2015

4. A comparison of 2 surgical site infection monitoring systems;Ju;JAMA Surg,2015

5. natural language processing for real-time catheter-associated urinary tract infection surveillance: results of a pilot implementation trial;Branch-Elliman;Infect Control Hosp Epidemiol,2015

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