Connection
Jayashree Kalpathy-Cramer to Risk Assessment
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Risk Assessment.
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Connection Strength |
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0.141 |
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Kalpathy-Cramer J, Hersh W, Kim JS, Thomas CR, Wang SJ. Survival prediction models for estimating the benefit of post-operative radiation therapy for gallbladder cancer and lung cancer. AMIA Annu Symp Proc. 2008 Nov 06; 348-52.
Score: 0.035
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Placide J, Coyner AS, Ostmo SR, Moshfeghi DM, Chiang MF, Kim SJ, Kalpathy-Cramer J, Chan RVP, Young BK, Campbell JP. Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based Screening. JAMA Ophthalmol. 2026 May 01; 144(5):424-430.
Score: 0.030
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Befano B, Kalpathy-Cramer J, Egemen D, Inturrisi F, Jeronimo J, RodrÃguez AC, Campos N, Cremer M, Ribeiro A, Ajenifuja KO, Goldstein A, Haider A, Yeates K, Madeleine M, Norris T, Figueroa J, Alfaro K, Raiol T, Adepiti C, Norman J, Chilinda GK, Mchome B, Donastorg Y, Dlamini X, Conzuelo G, Banjo AA, Chone P, Mremi A, Benitez A, Rosberger Z, Vantha T, Prieto-Egido I, Boyd-Morin J, Clark C, Kinder S, Wentzensen N, Desai K, Perkins R, de Sanjosé S, Schiffman M. Initial evaluation of a new cervical screening strategy combining human papillomavirus genotyping and automated visual evaluation: the Human Papillomavirus-Automated Visual Evaluation Consortium. J Natl Cancer Inst. 2025 Oct 01; 117(10):2124-2129.
Score: 0.028
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Cox M, Panagides JC, Di Capua J, Dua A, Kalva S, Kalpathy-Cramer J, Daye D. An interpretable machine learning model for the prevention of contrast-induced nephropathy in patients undergoing lower extremity endovascular interventions for peripheral arterial disease. Clin Imaging. 2023 Sep; 101:1-7.
Score: 0.024
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Cox M, Panagides JC, Tabari A, Kalva S, Kalpathy-Cramer J, Daye D. Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease. PLoS One. 2022; 17(11):e0277507.
Score: 0.023
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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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