Cargando…
Deep Ensemble Learning Approaches in Healthcare to Enhance the Prediction and Diagnosing Performance: The Workflows, Deployments, and Surveys on the Statistical, Image-Based, and Sequential Datasets
With the development of information and technology, especially with the boom in big data, healthcare support systems are becoming much better. Patient data can be collected, retrieved, and stored in real time. These data are valuable and meaningful for monitoring, diagnosing, and further application...
Autores principales: | Nguyen, Duc-Khanh, Lan, Chung-Hsien, Chan, Chien-Lung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536161/ https://www.ncbi.nlm.nih.gov/pubmed/34682554 http://dx.doi.org/10.3390/ijerph182010811 |
Ejemplares similares
-
Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique
por: Ali, Abdullah Marish, et al.
Publicado: (2022) -
Deploying and sharing U-Compare workflows as web services
por: Kontonatsios, Georgios, et al.
Publicado: (2013) -
A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification
por: Le, Nguyen Quoc Khanh, et al.
Publicado: (2020) -
Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reports
por: De Angeli, Kevin, et al.
Publicado: (2022) -
Reengineering Workflow for Curation of DICOM Datasets
por: Bennett, William, et al.
Publicado: (2018)