Cargando…
Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery
Autores principales: | Jiang, Haiye, Liu, Leping, Wang, Yongjun, Ji, Hongwen, Ma, Xianjun, Wu, Jingyi, Huang, Yuanshuai, Wang, Xinhua, Gui, Rong, Zhao, Qinyu, Chen, Bingyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989682/ https://www.ncbi.nlm.nih.gov/pubmed/35402546 http://dx.doi.org/10.3389/fcvm.2022.890752 |
Ejemplares similares
-
Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery
por: Jiang, Haiye, et al.
Publicado: (2022) -
Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery
por: Jiang, Haiye, et al.
Publicado: (2021) -
Identification of risk factors for infection after mitral valve surgery through machine learning approaches
por: Zhang, Ningjie, et al.
Publicado: (2023) -
Ability of a Machine Learning Algorithm to Predict the Need for Perioperative Red Blood Cells Transfusion in Pelvic Fracture Patients: A Multicenter Cohort Study in China
por: Huang, Xueyuan, et al.
Publicado: (2021) -
Current Devices in Mitral Valve Replacement and Their Potential Complications
por: Gheorghe, Livia, et al.
Publicado: (2020)