Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19069, first published .
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study

Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study

Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study

Journals

  1. Jin Y, Junren W, Jingwen J, Yajing S, Xi C, Ke Q. Research on the Construction and Application of Breast Cancer-Specific Database System Based on Full Data Lifecycle. Frontiers in Public Health 2021;9 View
  2. Xiao J, Mo M, Wang Z, Zhou C, Shen J, Yuan J, He Y, Zheng Y. The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study. JMIR Medical Informatics 2022;10(2):e33440 View
  3. Suo J, Zhong X, He P, Zheng H, Tian T, Yan X, Luo T. A Retrospective Analysis of the Effect of Irinotecan-Based Regimens in Patients With Metastatic Breast Cancer Previously Treated With Anthracyclines and Taxanes. Frontiers in Oncology 2021;11 View
  4. Li H, Liu R, Long C, Teng Y, Cheng L, Liu Y. Development and Validation of a New Multiparametric Random Survival Forest Predictive Model for Breast Cancer Recurrence with a Potential Benefit to Individual Outcomes. Cancer Management and Research 2022;Volume 14:909 View
  5. Massafra R, Fanizzi A, Amoroso N, Bove S, Comes M, Pomarico D, Didonna V, Diotaiuti S, Galati L, Giotta F, La Forgia D, Latorre A, Lombardi A, Nardone A, Pastena M, Ressa C, Rinaldi L, Tamborra P, Zito A, Paradiso A, Bellotti R, Lorusso V. Analyzing breast cancer invasive disease event classification through explainable artificial intelligence. Frontiers in Medicine 2023;10 View
  6. Istasy P, Lee W, Iansavichene A, Upshur R, Gyawali B, Burkell J, Sadikovic B, Lazo-Langner A, Chin-Yee B. The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review. Journal of Medical Internet Research 2022;24(11):e39748 View
  7. Wang J, Yin J, Qiu J, Jiang J, Hu Y, Zhu K, Zheng H, Luo T, Zhong X. Comparison of dyslipidemia incidence in Chinese early-stage breast cancer patients following different endocrine therapies: A population-based cohort study. Frontiers in Endocrinology 2022;13 View
  8. Park S, Park Y, Lee E, Chae H, Park P, Choi D, Choi Y, Hwang J, Ahn S, Kim K, Kim W, Kong S, Jung S, Kim H. Mortality Prediction Modeling for Patients with Breast Cancer Based on Explainable Machine Learning. Cancers 2024;16(22):3799 View