Cargando…
Enhanced character-level deep convolutional neural networks for cardiovascular disease prediction
BACKGROUND: Electronic medical records contain a variety of valuable medical information for patients. So, when we are able to recognize and extract risk factors for disease from EMRs of patients with cardiovascular disease (CVD), and are able to use them to predict CVD, we have the ability to autom...
Autores principales: | Zhang, Zhichang, Qiu, Yanlong, Yang, Xiaoli, Zhang, Minyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346321/ https://www.ncbi.nlm.nih.gov/pubmed/32646495 http://dx.doi.org/10.1186/s12911-020-1118-z |
Ejemplares similares
-
Predicting enhancers with deep convolutional neural networks
por: Min, Xu, et al.
Publicado: (2017) -
Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks
por: Alom, Md Zahangir, et al.
Publicado: (2018) -
Feature Extraction of Ancient Chinese Characters Based on Deep Convolution Neural Network and Big Data Analysis
por: Zhang, Cheng, et al.
Publicado: (2021) -
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
por: Zeleznik, Roman, et al.
Publicado: (2021) -
A risk factor attention-based model for cardiovascular disease prediction
por: Qiu, Yanlong, et al.
Publicado: (2022)