Machine learning predicts the risk of osteoporosis in patients with breast cancer and healthy women
Fang Zhao,
Chaofan Li,
Weiwei Wang
et al.
Abstract:Objective
In this study, we investigated the effects of endocrine therapy and related drugs on the body composition and bone metabolism of patients with breast cancer. Additionally, using body composition-related indicators in machine learning algorithms, the risks of osteoporosis in patients with breast cancer and healthy women were predicted.
Methods
We enrolled postmenopausal patients with breast cancer who were hospitalized in a tertiary hospit… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.