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2022 American Transplant Congress

TOPIC: Clinical Science » Organ Inclusive » 72 - Machine Learning, Artificial Intelligence and Social Media in Transplantation

  • Distinct Phenotypes of Kidney Transplant Recipients Aged 80 Years or Older in the United States by Machine Learning Consensus Clustering

    S. A. Mao1, C. Thongprayoon2, M. A. Mao3, C. C. Jadlowiec4, N. Leeaphorn5, M. Cooper6, W. Cheungpasitporn2

  • Distinct Phenotypes of Kidney Transplant Recipients with Delayed Graft Function Identified Through Machine Learning Consensus Clustering

    C. Jadlowiec1, C. Thongprayoon2, N. Leeaphorn3, W. Kaewput4, P. Pattharanitima5, M. Cooper6, W. Cheungpasitporn2

  • DonorNet Procurement Photos and Their Association with Kidney Utilization

    M. Stuart1, A. M. Placona1, C. Martinez1, K. Andreoni2

  • Evaluating the Performance and External Validity of Machine Learning-Based Prediction Models in Liver Transplantation: An International Study

    T. Ivanics1, D. So2, M. P. Claasen3, D. Wallace4, M. Patel5, A. Gravely6, K. Walker7, T. Cowling7, L. Erdman8, G. Sapisochin3

  • Influence of the Competing Risk of Recipient Death on the Risk Estimation of Kidney Transplant Failure

    M. Coemans1, G. Verbeke2, B. Döhler3, C. Süsal3, M. Naesens1

  • Multidimensional Prognostication Tool for Kidney Transplant Patient Survival: The Mortality Mbox

    C. Debiais-Deschamps1, O. Aubert1, D. Yoo1, G. Divard1, C. Lefaucheur2, C. Legendre3, A. Loupy1

  • Organ Tracking Combined with Real-Time Communication to Reduce Organ Shipment Delays and Cit: The First Report of a Comprehensive, Scalable System for Organ Tracking and Communication in the United States

    A. Melia1, S. Pankow1, C. Paydenkar1, P. Summers1, J. Scalea2

  • Predicting Long Term Kidney-Allograft Failure: Machine Learning vs Traditional Statistical Models

    A. Truchot1, M. Raynaud1, c. lefaucheur2, O. Aubert1, A. Loupy1

  • Prediction of Delayed Graft Function After Deceased Donor Kidney Transplantation Using Machine Learning and Sequential Donor Data

    J. Sageshima1, J. Yu1, H. Lala Gul1, F. De Leon1, N. Goussous1, N. Mineyev1, P. Than1, K. Jen2, R. Perez1

  • Predictors of Short and Long Term Outcomes of Donor After Cardiac Death (DCD) versus Donor After Brain Death (DBD) Kidney Transplantation from Supra Marginal Donors ( D4). A Machine Learning Analysis (MLA) of NHSBT Registry Data Since Year 2000

    H. Sharma1, A. Sharma2, T. Gunawardhane1, B. Devkaran1, K. Kapoor1, S. Mehra1

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