Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning

[1] Pakyz AL(2017)Leapfrog hospital safety score, magnet designation, and healthcare-associated infections in United States Hospitals J Patient Saf 58 1001-1006

[2] Wang H(2011)16-Year Trends in the Infection Burden for Pacemakers and Implantable Cardioverter-Defibrillators in the United States: 1993 to 2008 J Am Coll Cardiol 6 6-244

[3] Ozcan YA(2020)Epidemiology of cardiac implantable electronic device infections in the United States: a population-based cohort study Heart Rhythm 34 238-896

[4] Edmond MB(2017)Core components for effective infection prevention and control programmes: new WHO evidence-based recommendations Antimicrob Resist Infect Control 5 179-332

[5] Vogus TJ(2013)Central line-associated infections as defined by the centers for medicare and medicaid services' hospital-acquired condition versus standard infection control surveillance why hospital compare seems conflicted Infect Control Hosp Epidemiol 21 887-e551

[6] Greenspon AJ(2015)Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review BMJ Open 67 e012799-103

[7] Patel JD(2021)Predicting postoperative surgical site infection with administrative data: a random forests algorithm BMC Med Res Methodol 6 309-512

[8] Lau E(2014)Validation of international algorithms to identify adults with inflammatory bowel disease in health administrative data from Ontario, Canada J Clin Epidemiol 36 e503-1126

[9] Rennert-May E(2016)STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration BMJ Open 14 100-330

[10] Chew D(2008)CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting Am J Infect Control 35 412-164

[1] Pakyz AL(2017)Leapfrog hospital safety score, magnet designation, and healthcare-associated infections in United States Hospitals J Patient Saf 58 1001-1006

[2] Wang H(2011)16-Year Trends in the Infection Burden for Pacemakers and Implantable Cardioverter-Defibrillators in the United States: 1993 to 2008 J Am Coll Cardiol 6 6-244

[3] Ozcan YA(2020)Epidemiology of cardiac implantable electronic device infections in the United States: a population-based cohort study Heart Rhythm 34 238-896

[4] Edmond MB(2017)Core components for effective infection prevention and control programmes: new WHO evidence-based recommendations Antimicrob Resist Infect Control 5 179-332

[5] Vogus TJ(2013)Central line-associated infections as defined by the centers for medicare and medicaid services' hospital-acquired condition versus standard infection control surveillance why hospital compare seems conflicted Infect Control Hosp Epidemiol 21 887-e551

[6] Greenspon AJ(2015)Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review BMJ Open 67 e012799-103

[7] Patel JD(2021)Predicting postoperative surgical site infection with administrative data: a random forests algorithm BMC Med Res Methodol 6 309-512

[8] Lau E(2014)Validation of international algorithms to identify adults with inflammatory bowel disease in health administrative data from Ontario, Canada J Clin Epidemiol 36 e503-1126

[9] Rennert-May E(2016)STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration BMJ Open 14 100-330

[10] Chew D(2008)CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting Am J Infect Control 35 412-164