Cargando…
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records
In the last years, the need to de-identify privacy-sensitive information within Electronic Health Records (EHRs) has become increasingly felt and extremely relevant to encourage the sharing and publication of their content in accordance with the restrictions imposed by both national and supranationa...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545240/ https://www.ncbi.nlm.nih.gov/pubmed/34786303 http://dx.doi.org/10.1109/ACCESS.2021.3054479 |
Ejemplares similares
-
Machine learning and deep learning approaches in IoT
por: Javed, Abqa, et al.
Publicado: (2023) -
Deep Active Learning via Open-Set Recognition
por: Mandivarapu, Jaya Krishna, et al.
Publicado: (2022) -
Deep Learning for Diagnosing and Segmenting Choroidal Neovascularization in OCT Angiography in a Large Real-World Data Set
por: Wang, Jie, et al.
Publicado: (2023) -
Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma
por: Thiéry, Alexandre H., et al.
Publicado: (2023) -
Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning
por: Janjua, Sadaf Hussain, et al.
Publicado: (2021)