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

Machine Learning (1693) Advanced Data Analytics in eHealth (163) Decision Support for Health Professionals (1325) Clinical Information and Decision Making (1608)

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 (13) Tweetations (5) Metrics

Journals

  1. Bukhtiyarova O, Abderrazak A, Chiu Y, Sparano S, Simard M, Sirois C. Major areas of interest of artificial intelligence research applied to health care administrative data: a scoping review. Frontiers in Pharmacology 2022;13 View
  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
  9. Yağanoğlu M, Öztürk G, Bozkurt F, Bilen Z, Yetiş Demir Z, Kul S, Şimşek E, Kara S, Eygu H, Altundaş N, Aksungur N, Korkut E, Başar M, Öztürk N. Development of a Clinical Decision Support System Using Artificial Intelligence Methods for Liver Transplant Centers. Applied Sciences 2025;15(3):1248 View
  10. Mizera J, Pondel M, Kepinska M, Jerzak P, Banasik M. Advancements in Artificial Intelligence for Kidney Transplantology: A Comprehensive Review of Current Applications and Predictive Models. Journal of Clinical Medicine 2025;14(3):975 View
  11. He Y, Liu P, Wei T, Liu T, Li Y, Yang J, Fan W. Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions. Renal Failure 2025;47(1) View
  12. Lai W, Min J, Peng L. Will AI Replace Physicians? A Review of Artificial Intelligence Applications in Kidney Transplantation. Organ Medicine 2025;2(1):15 View

Conference Proceedings

  1. Aljurbua R, Gillespie A, Alshehri J, Alharbi A, Albarakati N, Obradovic Z. 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI). Node2VecFuseClassifier: Bridging Perspectives in Modeling Transplantation Attitudes Among Dialysis Patients View