Classification of Biomedical Texts for Cardiovascular Diseases with Deep Neural Network Using a Weighted Feature Representation Method

This study aims to improve the performance of multiclass classification of biomedical texts for cardiovascular diseases by combining two different feature representation methods, i.e., bag-of-words (BoW) and word embeddings (WE). To hybridize the two feature representations, we investigated a set of...

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Detalles Bibliográficos
Autores principales: Ahmed, Nizar, Dilmaç, Fatih, Alpkocak, Adil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712354/
https://www.ncbi.nlm.nih.gov/pubmed/33050399
http://dx.doi.org/10.3390/healthcare8040392

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712354/
https://www.ncbi.nlm.nih.gov/pubmed/33050399
http://dx.doi.org/10.3390/healthcare8040392

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