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

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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Bibliographic Details
Main Authors: Nizar Ahmed, Fatih Dilmaç, Adil Alpkocak
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Healthcare
Subjects:
biomedical text classification
multiclass classification
cardiovascular diseases
deep neural network
feature representation
bidirectional long short-term memory
Online Access:https://www.mdpi.com/2227-9032/8/4/392

Internet

https://www.mdpi.com/2227-9032/8/4/392

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