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

Innovations and Technology in Cancer Care (225) Research Instruments, Questionnaires, and Tools (375) Human Factors and Usability Case Studies (472) Design and Usability of Clinical Software and EHRs (142)

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

Authors of this article:

Michelle Henton 1 Author Orcid Image ;   Bridget Gaglio 1 Author Orcid Image ;   Laurie Cynkin 2 Author Orcid Image ;   Eric J Feuer 3 Author Orcid Image ;   Borsika A Rabin 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

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