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

Clinical Information and Decision Making (1407) Breast Cancer (206) Cancer Survivorship (258) Decision Support for Health Professionals (1185) Tools, Programs and Algorithms (266) Cancer Prognosis Models and Machine Learning (14) Mobile Apps for Cancer Care and Cancer Prevention and Screening (206) Mobile Health (mhealth) (2939)

Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35768, first published .
Development of a Prognostic App (iCanPredict) to Predict Survival for Chinese Women With Breast Cancer: Retrospective Study

Development of a Prognostic App (iCanPredict) to Predict Survival for Chinese Women With Breast Cancer: Retrospective Study

Development of a Prognostic App (iCanPredict) to Predict Survival for Chinese Women With Breast Cancer: Retrospective Study

Authors of this article:

Zhuo Ma1 Author Orcid Image ;   Sijia Huang1 Author Orcid Image ;   Xiaoqing Wu2 Author Orcid Image ;   Yinying Huang3 Author Orcid Image ;   Sally Wai-Chi Chan4 Author Orcid Image ;   Yilan Lin2 Author Orcid Image ;   Xujuan Zheng5 Author Orcid Image ;   Jiemin Zhu1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Gedfew M, Afenigus A, Akalu T, Andualem A, Ayenew T, Getie A. Five-year survival rate of cancer patients in Ethiopia – systematic review and meta-analysis, 2022. International Journal of Surgery Oncology 2024 View
  2. Zhen M, Chen H, Lu Q, Li H, Yan H, Wang L. Machine Learning-Based Predictive Model for Mortality in Female Breast Cancer Patients Considering Lifestyle Factors. Cancer Management and Research 2024;Volume 16:1253 View