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

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