Cargando…
Aortic Dissection Auxiliary Diagnosis Model and Applied Research Based on Ensemble Learning
Aortic dissection (AD), a dangerous disease threatening to human beings, has a hidden onset and rapid progression and has few effective methods in its early diagnosis. At present, although CT angiography acts as the gold standard on AD diagnosis, it is so expensive and time-consuming that it can har...
Autores principales: | Luo, Jingmin, Zhang, Wei, Tan, Shiyang, Liu, Lijue, Bai, Yongping, Zhang, Guogang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733407/ https://www.ncbi.nlm.nih.gov/pubmed/35004892 http://dx.doi.org/10.3389/fcvm.2021.777757 |
Ejemplares similares
-
An early aortic dissection screening model and applied research based on ensemble learning
por: Liu, Lijue, et al.
Publicado: (2020) -
Solving the class imbalance problem using ensemble algorithm: application of screening for aortic dissection
por: Liu, Lijue, et al.
Publicado: (2022) -
Cluster-Based Ensemble Learning Model for Aortic Dissection Screening
por: Gao, Yan, et al.
Publicado: (2022) -
A study of aortic dissection screening method based on multiple machine learning models
por: Liu, Lijue, et al.
Publicado: (2020) -
Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection
por: Hao, Xinyu, et al.
Publicado: (2022)