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Robert A Meguid

Showing results (31-40 of 168) with videos related to

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Annals of Surgery|July 26, 2016
Reply to Letter: "Redesigning ACS-NSQIP Data Collection and Reports Will This Translate Into Better Outcomes?"Robert A Meguid, William G Henderson, Elizabeth Juarez-Colunga, et al.
Annals of Surgery|March 2, 2016
Surgical Risk Preoperative Assessment System (SURPAS): III. Accurate Preoperative Prediction of 8 Adverse Outcomes Using 8 Predictor VariablesRobert A Meguid, Michael R Bronsert, Elizabeth Juarez-Colunga, et al.
Annals of Surgery|May 12, 2016
Bringing Quantitative Risk Assessment Closer to the Patient and Surgeon: A Novel Approach to Improve OutcomesKarl E Hammermeister, William G Henderson, Michael R Bronsert, et al.
The Journal of Surgical Research|December 3, 2020
A Pilot Study of Patient-Reported Outcome Measures Across a Broad Sample of Surgical PatientsWilliam G Henderson, Robert A Meguid, Anne Lambert-Kerzner, et al.
Surgery|June 11, 2024
The association between participation in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and postoperative outcomes: A comprehensive analysis of 7,474,298 patientsChristina M Stuart, William G Henderson, Michael R Bronsert, et al.
American Journal of Surgery|October 23, 2019
Identification of postoperative complications using electronic health record data and machine learningMichael Bronsert, Abhinav B Singh, William G Henderson, et al.
American Journal of Infection Control|December 8, 2018
Identification of urinary tract infections using electronic health record dataKathryn L Colborn, Michael Bronsert, Karl Hammermeister, et al.
JTCVS Open|July 10, 2023
A primer for the student joining the general thoracic surgery service tomorrow: Primer 2 of 7Colin C Yost, Rohun Bhagat, David Blitzer, et al.
Annals of Surgery|September 27, 2023
Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record DataYaxu Zhuang, Adam Dyas, Robert A Meguid, et al.
Journal of the American College of Surgeons|November 2, 2019
Accurate Preoperative Prediction of Discharge Destination Using 8 Predictor Variables: A NSQIP AnalysisAbhinav B Singh, Michael R Bronsert, William G Henderson, et al.
Pageof 17

Showing results (31-40 of 168) with videos related to

Sort By:
Pageof 17
Annals of Surgery|July 26, 2016
Reply to Letter: "Redesigning ACS-NSQIP Data Collection and Reports Will This Translate Into Better Outcomes?"Robert A Meguid, William G Henderson, Elizabeth Juarez-Colunga, et al.
Annals of Surgery|March 2, 2016
Surgical Risk Preoperative Assessment System (SURPAS): III. Accurate Preoperative Prediction of 8 Adverse Outcomes Using 8 Predictor VariablesRobert A Meguid, Michael R Bronsert, Elizabeth Juarez-Colunga, et al.
Annals of Surgery|May 12, 2016
Bringing Quantitative Risk Assessment Closer to the Patient and Surgeon: A Novel Approach to Improve OutcomesKarl E Hammermeister, William G Henderson, Michael R Bronsert, et al.
The Journal of Surgical Research|December 3, 2020
A Pilot Study of Patient-Reported Outcome Measures Across a Broad Sample of Surgical PatientsWilliam G Henderson, Robert A Meguid, Anne Lambert-Kerzner, et al.
Surgery|June 11, 2024
The association between participation in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and postoperative outcomes: A comprehensive analysis of 7,474,298 patientsChristina M Stuart, William G Henderson, Michael R Bronsert, et al.
American Journal of Surgery|October 23, 2019
Identification of postoperative complications using electronic health record data and machine learningMichael Bronsert, Abhinav B Singh, William G Henderson, et al.
American Journal of Infection Control|December 8, 2018
Identification of urinary tract infections using electronic health record dataKathryn L Colborn, Michael Bronsert, Karl Hammermeister, et al.
JTCVS Open|July 10, 2023
A primer for the student joining the general thoracic surgery service tomorrow: Primer 2 of 7Colin C Yost, Rohun Bhagat, David Blitzer, et al.
Annals of Surgery|September 27, 2023
Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record DataYaxu Zhuang, Adam Dyas, Robert A Meguid, et al.
Journal of the American College of Surgeons|November 2, 2019
Accurate Preoperative Prediction of Discharge Destination Using 8 Predictor Variables: A NSQIP AnalysisAbhinav B Singh, Michael R Bronsert, William G Henderson, et al.
Pageof 17