Jay Koyner to ROC Curve
This is a "connection" page, showing publications Jay Koyner has written about ROC Curve.
Connection Strength
0.619
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Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury. JAMA Netw Open. 2020 08 03; 3(8):e2012892.
Score: 0.158
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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model. Crit Care Med. 2018 07; 46(7):1070-1077.
Score: 0.137
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Development of a Multicenter Ward-Based AKI Prediction Model. Clin J Am Soc Nephrol. 2016 11 07; 11(11):1935-1943.
Score: 0.121
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Urinary biomarkers in the clinical prognosis and early detection of acute kidney injury. Clin J Am Soc Nephrol. 2010 Dec; 5(12):2154-65.
Score: 0.079
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Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study. Intensive Care Med. 2020 05; 46(5):943-953.
Score: 0.038
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The prognostic value of the furosemide stress test in predicting delayed graft function following deceased donor kidney transplantation. Biomarkers. 2018 Feb; 23(1):61-69.
Score: 0.033
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Common chronic conditions do not affect performance of cell cycle arrest biomarkers for risk stratification of acute kidney injury. Nephrol Dial Transplant. 2016 10; 31(10):1633-40.
Score: 0.030
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Performance of kidney injury molecule-1 and liver fatty acid-binding protein and combined biomarkers of AKI after cardiac surgery. Clin J Am Soc Nephrol. 2013 Jul; 8(7):1079-88.
Score: 0.024