 Connection
Kathryn Colborn to Predictive Value of Tests
This is a "connection" page, showing publications Kathryn Colborn has written about Predictive Value of Tests.
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0.220 |
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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: 0.119
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Cervantes-Alvarez E, la Rosa NL, la Mora MS, Valdez-Sandoval P, Palacios-Jimenez M, Rodriguez-Alvarez F, Vera-Maldonado BI, Aguirre-Aguilar E, Escobar-Valderrama JM, Alanis-Mendizabal J, M?ndez-Guerrero O, Tejeda-Dominguez F, Torres-Ru?z J, G?mez-Mart?n D, Colborn KL, Kershenobich D, Huang CA, Navarro-Alvarez N. Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients. Sci Rep. 2022 02 03; 12(1):1856.
Score: 0.035
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Kim C, Colborn KL, van Buuren S, Loar T, Stevens-Lapsley JE, Kittelson AJ. Neighbors-based prediction of physical function after total knee arthroplasty. Sci Rep. 2021 08 18; 11(1):16719.
Score: 0.034
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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: 0.032
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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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