Frontiers in Cardiovascular Medicine (Mar 2022)
Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery
- Haiye Jiang,
- Haiye Jiang,
- Leping Liu,
- Yongjun Wang,
- Hongwen Ji,
- Xianjun Ma,
- Jingyi Wu,
- Yuanshuai Huang,
- Xinhua Wang,
- Rong Gui,
- Qinyu Zhao,
- Bingyu Chen
Affiliations
- Haiye Jiang
- Clinical Laboratory, The Third Xiangya Hospital, Central South University, Changsha, China
- Haiye Jiang
- Hunan Engineering Technology Research Center of Optoelectronic Health Detection, Changsha, China
- Leping Liu
- Department of Transfusion, The Third Xiangya Hospital, Central South University, Changsha, China
- Yongjun Wang
- Department of Blood Transfusion, The Second Xiangya Hospital, Central South University, Changsha, China
- Hongwen Ji
- Department of Anesthesiology, Fuwai Hospital National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
- Xianjun Ma
- Department of Blood Transfusion, Qilu Hospital of Shandong University, Jinan, China
- Jingyi Wu
- Department of Transfusion, Xiamen Cardiovascular Hospital Xiamen University, Xiamen, China
- Yuanshuai Huang
- Department of Transfusion, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Xinhua Wang
- Department of Transfusion, Beijing Aerospace General Hospital, Beijing, China
- Rong Gui
- Department of Transfusion, The Third Xiangya Hospital, Central South University, Changsha, China
- Qinyu Zhao
- 0College of Engineering & Computer Science, Australian National University, Canberra, ACT, Australia
- Bingyu Chen
- 1Department of Transfusion, Zhejiang Provincial People's Hospital, Hangzhou, China
- DOI
- https://doi.org/10.3389/fcvm.2022.890752
- Journal volume & issue
-
Vol. 9
Abstract
No abstracts available.Keywords
