 Connection
Robert Meguid to Machine Learning
This is a "connection" page, showing publications Robert Meguid has written about Machine Learning.
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Connection Strength |
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1.095 |
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Colborn KL, Fei Y, Henderson WG, Zhuang Y, Dyas AR, Matheny ME, Stuart CM, Meguid RA. Estimation of risk-adjusted postoperative infection outcomes using interpretable machine learning and electronic health record data. Am J Infect Control. 2026 02; 54(2):139-144.
Score: 0.603
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Dyas AR, Stuart CM, Fei Y, Meguid RA, Zhuang Y, Henderson WG, Bronsert MR, Colborn KL. Development and Validation of Models for Preoperative Prediction of Risk and Postoperative Detection of Noninfectious Complications Using Interpretable Machine Learning and Electronic Health Record Data. Ann Surg. 2026 Aug 01; 284(2):273-280.
Score: 0.145
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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: 0.124
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Bronsert M, Singh AB, Henderson WG, Hammermeister K, Meguid RA, Colborn KL. Identification of postoperative complications using electronic health record data and machine learning. Am J Surg. 2020 07; 220(1):114-119.
Score: 0.100
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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: 0.091
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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: 0.033
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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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