This paper is in the following e-collection/theme issue:

Machine Learning (1501) Advanced Data Analytics in eHealth (142) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34554, first published .
Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution

Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution

Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution

Authors of this article:

François-Xavier Paquette1 Author Orcid Image ;   Amir Ghassemi1 Author Orcid Image ;   Olga Bukhtiyarova1 Author Orcid Image ;   Moustapha Cisse1 Author Orcid Image ;   Natanael Gagnon1 Author Orcid Image ;   Alexia Della Vecchia1, 2 Author Orcid Image ;   Hobivola A Rabearivelo1 Author Orcid Image ;   Youssef Loudiyi1 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Journals

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  2. Rahman M, Yilmaz I, Albadri S, Salem F, Dangott B, Taner C, Nassar A, Akkus Z. Artificial Intelligence Advances in Transplant Pathology. Bioengineering 2023;10(9):1041 View
  3. Ravindhran B, Chandak P, Schafer N, Kundalia K, Hwang W, Antoniadis S, Haroon U, Zakri R. Machine learning models in predicting graft survival in kidney transplantation: meta-analysis. BJS Open 2023;7(2) View
  4. Ramalhete L, Almeida P, Ferreira R, Abade O, Teixeira C, Araújo R. Revolutionizing Kidney Transplantation: Connecting Machine Learning and Artificial Intelligence with Next-Generation Healthcare—From Algorithms to Allografts. BioMedInformatics 2024;4(1):673 View
  5. St-Denis K, Richard S. Créer le souci pour la réflexion éthique. Récit d’expérience d’enseignements auprès d’étudiants en ingénierie et en travail social. Revue française d'éthique appliquée 2024;N° 15(1):113 View
  6. Rawashdeh B, Al-Abdallat H, Hamamreh R, Thomas B, Arpali E, Matthew C, Dunn T. Artificial Intelligence in Kidney Transplantation: A Comprehensive Scientometric Analysis. Current Transplantation Reports 2024;11(4):177 View
  7. Achilonu O, Obaido G, Ogbuokiri B, Aruleba K, Musenge E, Fabian J. A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras. Frontiers in Digital Health 2024;6 View
  8. Kotsifa E, Mavroeidis V. Present and Future Applications of Artificial Intelligence in Kidney Transplantation. Journal of Clinical Medicine 2024;13(19):5939 View