Ensemble learning-assisted prediction of prolonged hospital length of stay after spine correction surgery: a multi-center cohort study.
Wenle LiYusi ZhangXin ZhouXubin QuanBinghao ChenXuewen HouQizhong XuWeiheng HeLiang ChenXiaozhu LiuYang ZhangTianyu XiangRunmin LiQiang LiuShi-Nan WuKai WangWencai LiuJialiang ZhengHaopeng LuanXiaolin YuAnfa ChenChan XuTongqing LuoZhaohui HuPublished in: Journal of orthopaedic surgery and research (2024)
gov/ct2/show/NCT05867732 .
Keyphrases
- minimally invasive
- coronary artery bypass
- image quality
- computed tomography
- dual energy
- contrast enhanced
- healthcare
- surgical site infection
- convolutional neural network
- acute care
- adverse drug
- magnetic resonance imaging
- emergency department
- percutaneous coronary intervention
- machine learning
- magnetic resonance
- coronary artery disease
- acute coronary syndrome