Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22034, first published .
Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study

Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study

Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study

Journals

  1. Flaris A, Konstantinidis T. Letter to the editor: is total psoas muscle area at L3 truly representative of its volume?. The British Journal of Radiology 2022;95(1135) View
  2. Axenie C, Bauer R, Martínez M. The Multiple Dimensions of Networks in Cancer: A Perspective. Symmetry 2021;13(9):1559 View
  3. Kurz D, Sánchez C, Axenie C. Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning. Frontiers in Artificial Intelligence 2021;4 View
  4. Zhang F, Yang P, Chen Y, Wang R, Liu B, Wang J, Yuan M, Zhang L. Bibliometric and visual analysis of fecal microbiota transplantation research from 2012 to 2021. Frontiers in Cellular and Infection Microbiology 2022;12 View
  5. Akter S, Sultana S, Gunasekaran A, Bandara R, Miah S. Tackling the global challenges using data-driven innovations. Annals of Operations Research 2024;333(2-3):517 View
  6. Ayhan Fidancıoğlu N, Kocamaz D, Yılmaz R, Bayramlar K. Kanser Rehabilitasyonunda Kanıta Dayalı Teknolojik Uygulamaların Durumu ve Öneriler: Derleme Makalesi. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi 2024;7(1):1 View

Books/Policy Documents

  1. Kondylakis H, Kouroubali A, Katehakis D. Pervasive Computing Technologies for Healthcare. View
  2. Komalasari R. Federated Learning and Privacy-Preserving in Healthcare AI. View