Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44332, first published .
An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study

An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study

An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study

Journals

  1. Young K, Xiong T, Lee R, Banerjee A, Leslie M, Ko W, Pham Q. User-Centered Design and Usability of a Culturally Adapted Virtual Survivorship Care App for Chinese Canadian Prostate Cancer Survivors: Qualitative Descriptive Study. JMIR Human Factors 2024;11:e49353 View
  2. Pfisterer K, Young K, Lohani R, Xiong T, Anandarajan T, Ng D, Jiao T, Nunn C, Bryant-Lukosius D, Rendon R, Hamilton R, Bender J, Brown I, Feifer A, Gotto G, Cafazzo J, Pham Q. Lessons in complexity learned during a Canadian virtual pragmatic trial for prostate cancer survivorship. Cancer Survivorship Research & Care 2025;3(1) View