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

Machine Learning (1501) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Breast Cancer (213)

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

Authors of this article:

Xiaorong Zhong1 Author Orcid Image ;   Ting Luo1 Author Orcid Image ;   Ling Deng2 Author Orcid Image ;   Pei Liu3 Author Orcid Image ;   Kejia Hu4 Author Orcid Image ;   Donghao Lu4 Author Orcid Image ;   Dan Zheng2 Author Orcid Image ;   Chuanxu Luo2 Author Orcid Image ;   Yuxin Xie1 Author Orcid Image ;   Jiayuan Li5 Author Orcid Image ;   Ping He1 Author Orcid Image ;   Tianjie Pu6 Author Orcid Image ;   Feng Ye6 Author Orcid Image ;   Hong Bu6 Author Orcid Image ;   Bo Fu3 Author Orcid Image ;   Hong Zheng2 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.