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](https://asset.jmir.pub/assets/87fbc4400074dcad84906e6c4ca24781.png 480w,https://asset.jmir.pub/assets/87fbc4400074dcad84906e6c4ca24781.png 960w,https://asset.jmir.pub/assets/87fbc4400074dcad84906e6c4ca24781.png 1920w,https://asset.jmir.pub/assets/87fbc4400074dcad84906e6c4ca24781.png 2500w)
Journals
- 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