 Connection
Kathryn Colborn to Machine Learning
This is a "connection" page, showing publications Kathryn Colborn has written about Machine Learning.
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Connection Strength |
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1.375 |
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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: 0.530
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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: 0.175
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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: 0.165
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Mandair D, Tiwari P, Simon S, Colborn KL, Rosenberg MA. Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data. BMC Med Inform Decis Mak. 2020 10 02; 20(1):252.
Score: 0.142
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Tiwari P, Colborn KL, Smith DE, Xing F, Ghosh D, Rosenberg MA. Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation. JAMA Netw Open. 2020 01 03; 3(1):e1919396.
Score: 0.135
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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: 0.121
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Scott H, Colborn K. Machine Learning for Predicting Sepsis In-hospital Mortality: An Important Start. Acad Emerg Med. 2016 11; 23(11):1307.
Score: 0.108
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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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