Connection
Elizabeth Juarez-Colunga to Logistic Models
This is a "connection" page, showing publications Elizabeth Juarez-Colunga has written about Logistic Models.
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0.208 |
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Feng C, Kephart G, Juarez-Colunga E. Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods. BMC Med Res Methodol. 2021 11 27; 21(1):267.
Score: 0.138
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Meguid RA, Bronsert MR, Juarez-Colunga E, Hammermeister KE, Henderson WG. Surgical Risk Preoperative Assessment System (SURPAS): III. Accurate Preoperative Prediction of 8 Adverse Outcomes Using 8 Predictor Variables. Ann Surg. 2016 07; 264(1):23-31.
Score: 0.024
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Meguid RA, Bronsert MR, Juarez-Colunga E, Hammermeister KE, Henderson WG. Surgical Risk Preoperative Assessment System (SURPAS): II. Parsimonious Risk Models for Postoperative Adverse Outcomes Addressing Need for Laboratory Variables and Surgeon Specialty-specific Models. Ann Surg. 2016 07; 264(1):10-22.
Score: 0.024
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Bergamo C, Juarez-Colunga E, Capp R. Association of mental health disorders and Medicaid with ED admissions for ambulatory care-sensitive condition conditions. Am J Emerg Med. 2016 May; 34(5):820-4.
Score: 0.023