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

Longitudinal and Cohort Studies in Public Health (316) Breast Cancer (213) Machine Learning (1501) Cancer Prognosis Models and Machine Learning (14) Artificial Intelligence (1421) Cancer Epidemiology, Cancer Surveillance and Infodemiology (78)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45455, first published .
Epidemiology and a Predictive Model of Prognosis Index Based on Machine Learning in Primary Breast Lymphoma: Population-Based Study

Epidemiology and a Predictive Model of Prognosis Index Based on Machine Learning in Primary Breast Lymphoma: Population-Based Study

Epidemiology and a Predictive Model of Prognosis Index Based on Machine Learning in Primary Breast Lymphoma: Population-Based Study

Authors of this article:

Yushuai Yu1 Author Orcid Image ;   Zelin Xu1 Author Orcid Image ;   Tinglei Shao1 Author Orcid Image ;   Kaiyan Huang1 Author Orcid Image ;   Ruiliang Chen1 Author Orcid Image ;   Xiaoqin Yu1 Author Orcid Image ;   Jie Zhang1 Author Orcid Image ;   Hui Han1 Author Orcid Image ;   Chuangui Song1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Xie S, Zhang W, Wu Y, Tang Z, Yang L, Xue Y, Lin J, Kang M. Application of predictive model based on CT radiomics and machine learning in diagnosis for occult locally advanced esophageal squamous cell carcinoma before treatment: A two-center study. Translational Oncology 2024;47:102050 View