 Connection
Harrison Bai to ROC Curve
This is a "connection" page, showing publications Harrison Bai has written about ROC Curve.
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Connection Strength |
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0.461 |
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Purkayastha S, Xiao Y, Jiao Z, Thepumnoeysuk R, Halsey K, Wu J, Tran TML, Hsieh B, Choi JW, Wang D, Vallières M, Wang R, Collins S, Feng X, Feldman M, Zhang PJ, Atalay M, Sebro R, Yang L, Fan Y, Liao WH, Bai HX. Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data. Korean J Radiol. 2021 07; 22(7):1213-1224.
Score: 0.144
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He Y, Pan I, Bao B, Halsey K, Chang M, Liu H, Peng S, Sebro RA, Guan J, Yi T, Delworth AT, Eweje F, States LJ, Zhang PJ, Zhang Z, Wu J, Peng X, Bai HX. Deep learning-based classification of primary bone tumors on radiographs: A preliminary study. EBioMedicine. 2020 Dec; 62:103121.
Score: 0.141
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Purkayastha S, Zhao Y, Wu J, Hu R, McGirr A, Singh S, Chang K, Huang RY, Zhang PJ, Silva A, Soulen MC, Stavropoulos SW, Zhang Z, Bai HX. Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm. Sci Rep. 2020 11 11; 10(1):19503.
Score: 0.140
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Yi X, Liu H, Zhu L, Wang D, Xie F, Shi L, Mei J, Jiang X, Zeng Q, Hu P, Li Y, Pang P, Liu J, Peng W, Bai HX, Liao W, Chen BT. Myosteatosis predicting risk of transition to severe COVID-19 infection. Clin Nutr. 2022 12; 41(12):3007-3015.
Score: 0.037
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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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