2021 American Transplant Congress » Machine Learning, Artificial Intelligence and Social Media in Transplantation
Date & Time:
None. Available on demand
Location: Virtual
Session Type: Poster Abstract
Meeting: 2021 American Transplant Congress
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Dynamic Forecasting of Patient-Specific Kidney Transplant Function with a Sequence-to-Sequence Deep-Learning Model
E. Van Loon1, W. Zhang2, A. Van Craenenbroeck1, B. De Moor2, M. Naesens1
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Kidney Transplantation Management and Decision Support System
A. Demirag1, Y. Wu2, J. Lamp2, S. Holland1, A. Routt2, L. Feng2
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Machine Learning Approaches for Post-transplant Kidney Outcome Prediction
H. Ghali1, D. Won1, S. Yoon1, A. Friedman2
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Needs of People with Kidney Transplantation During the Covid 19 Pandemic and Its Confinement, and the Role of Communication Technologies Through the “Patient Experience”
I. Revuelta1, E. Palou2, R. Scandurra3, F. Oppenheimer1, F. Diekmann1, J. Escarrabill2, B. Bayés1
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Offer Acceptance Models for Various Endpoints: Initial Response, Final Response, and Conversion from Provisional Yes to Yes
C. Martinez, M. Stuart, A. Placona
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Quality Improvement Surveillance by Machine Learning
J. D. Perkins1, E. Clemens2, M. Granich3, J. Yeung3, J. Reyes1
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Transplant Data Platform – An Augmented Clinical Intelligence Framework
C. Focht, W. Tian, J. Zeng, N. Dzebisashvili, S. Ghosh
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hlaR,” a Simplified Interface for the HLA Matchmaker Tool
A. Johnson1, J. Zhang1, H. Gebel2, C. Larsen1
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