 Connection
Robert Meguid to Surgical Wound Infection
This is a "connection" page, showing publications Robert Meguid has written about Surgical Wound Infection.
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Connection Strength |
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2.164 |
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Anioke T, Fei Y, Stuart CM, Colborn KL, Healy GL, Dyas AR, Bronsert MR, Henderson WG, Meguid RA. Seasonality of surgical site infection rates across a broad surgical sample and diverse health system. Am J Infect Control. 2025 May; 53(5):559-564.
Score: 0.722
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Aasen DM, Wiedel C, Maroni P, Cohen ME, Meng X, Meguid RA. Association of Hospital Altitude and Postoperative Infectious Complications After Major Operations. High Alt Med Biol. 2019 12; 20(4):421-426.
Score: 0.500
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Colborn KL, Bronsert M, Amioka E, Hammermeister K, Henderson WG, Meguid R. Identification of surgical site infections using electronic health record data. Am J Infect Control. 2018 11; 46(11):1230-1235.
Score: 0.456
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Bronsert MR, Henderson WG, Colborn KL, Dyas AR, Madsen HJ, Zhuang Y, Lambert-Kerzner A, Meguid RA. Effect of Present at Time of Surgery on Unadjusted and Risk-Adjusted Postoperative Complication Rate. J Am Coll Surg. 2023 01 01; 236(1):7-15.
Score: 0.156
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Colborn KL, Zhuang Y, Dyas AR, Henderson WG, Madsen HJ, Bronsert MR, Matheny ME, Lambert-Kerzner A, Myers QWO, Meguid RA. Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning. Surgery. 2023 02; 173(2):464-471.
Score: 0.155
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Aasen DM, Bronsert MR, Rozeboom PD, Colborn KL, Henderson WG, Lambert-Kerzner A, Hammermeister KE, Meguid RA. Relationships between predischarge and postdischarge infectious complications, length of stay, and unplanned readmissions in the ACS NSQIP database. Surgery. 2021 02; 169(2):325-332.
Score: 0.133
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Zhuang Y, Dyas A, Meguid RA, Henderson WG, Bronsert M, Madsen H, Colborn KL. Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record Data. Ann Surg. 2024 Apr 01; 279(4):720-726.
Score: 0.041
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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