DeBERTa-BiLSTM: A multi-label classification model of arabic medical questions using pre-trained models and deep learning-Reference-Cited by-同舟云学术

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DeBERTa-BiLSTM: A multi-label classification model of arabic medical questions using pre-trained models and deep learning

Published:2024-01 Issue: Volume: Page:107921
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Al-Smadi Bushra Salem^ORCID

Publisher

Elsevier BV

Reference57 articles.

1. Understanding, explaining, and utilizing medical artificial intelligence;Cadario;Nat. Hum. Behav.,2021

2. Coronavirus (COVID-19) events as they happen;World Health Organization,2020

3. Responding to COVID-19,2019

4. Economic impact of COVID-19 pandemic on healthcare facilities and systems: International perspectives;Kaye;Best Pract. Res. Clin. Anaesthesiol.,2021

5. Intelligent systems and computational methods in medical and healthcare solutions with their challenges during COVID-19 pandemic;Mohammed;J. Intell. Syst.,2021

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1. A novel full-resolution convolutional neural network for urban-fringe-rural identification: A case study of urban agglomeration region;Landscape and Urban Planning;2024-09

2. Social Media Text Analysis for Disaster Management Using DistilBERT Model;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

3. Fine-Tuned T5 Transformer with LSTM and Spider Monkey Optimizer for Redundancy Reduction in Automatic Question Generation;SN Computer Science;2024-04-23

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