Cargando…
A machine learning model to classify aortic dissection patients in the early diagnosis phase
Aortic dissection is one of the most clinical-challenging and life-threatening cardiovascular diseases associated with high morbidity and mortality. Aortic dissection requires fast diagnosis and timely therapy. Any delay or misdiagnosis can cause severe consequence to aortic dissection patients with...
Autores principales: | Huo, Da, Kou, Bo, Zhou, Zhili, Lv, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389887/ https://www.ncbi.nlm.nih.gov/pubmed/30804372 http://dx.doi.org/10.1038/s41598-019-39066-9 |
Ejemplares similares
-
Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients
por: Guo, Tuo, et al.
Publicado: (2021) -
Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis
por: Mobiny, Aryan, et al.
Publicado: (2019) -
Identification and validation of differentially expressed chromatin regulators for diagnosis of aortic dissection using integrated bioinformatics analysis and machine-learning algorithms
por: Liu, Chunjiang, et al.
Publicado: (2022) -
A study of aortic dissection screening method based on multiple machine learning models
por: Liu, Lijue, et al.
Publicado: (2020) -
Comparison of Different Machine Learning Classifiers for Glaucoma Diagnosis Based on Spectralis OCT
por: Wu, Chao-Wei, et al.
Publicado: (2021)