Published on in Vol 3, No 2 (2017): Jul-Dec

Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool—Surveillance, Epidemiology, and End Results Cancer Survival Calculator

Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool—Surveillance, Epidemiology, and End Results Cancer Survival Calculator

Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool—Surveillance, Epidemiology, and End Results Cancer Survival Calculator

Journals

  1. Vromans R, Pauws S, Bol N, van de Poll-Franse L, Krahmer E. Communicating tailored risk information of cancer treatment side effects: Only words or also numbers?. BMC Medical Informatics and Decision Making 2020;20(1) View
  2. Wen X, Liu M, Du J, Wang X. Meis homeobox 2 (MEIS2) inhibits the proliferation and promotes apoptosis of thyroid cancer cell and through the NF-κB signaling pathway. Bioengineered 2021;12(1):1766 View
  3. Vromans R, van Eenbergen M, Geleijnse G, Pauws S, van de Poll-Franse L, Krahmer E. Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod Study. JMIR Cancer 2021;7(4):e25659 View
  4. Nik Ab Kadir M, Mohd Hairon S, Yaacob N, Yusof S, Musa K, Yahya M, Mohd Isa S, Mamat Azlan M, Ab Hadi I. myBeST—A Web-Based Survival Prognostic Tool for Women with Breast Cancer in Malaysia: Development Process and Preliminary Validation Study. International Journal of Environmental Research and Public Health 2023;20(4):2985 View
  5. Yung A, Kay J, Beale P, Gibson K, Shaw T. Computer-Based Decision Tools for Shared Therapeutic Decision-making in Oncology: Systematic Review. JMIR Cancer 2021;7(4):e31616 View
  6. Masood A, Naseem U, Rashid J, Kim J, Razzak I. Review on enhancing clinical decision support system using machine learning. CAAI Transactions on Intelligence Technology 2024 View