GL-LSTM Model For Multi-label Text Classification Of Cardiovascular Disease Reports

Author:

Chaib Rim1,Azizi Nabiha2,Hammami Nacer Eddine3,Gasmi Ibtissem4,Schwab Didier5,Chaib Amira6

Affiliation:

1. Badji Mokhtar University, Labged Laboratory of electronic document management,Electronic department,Annaba,Algeria

2. Badji Mokhtar University, Labged Laboratory of electronic document management,Computer science department,Annaba,Algeria

3. College of Engineering and Computer Sciences, Mustaqbal University,Computer Engineering Department,Saudi Arabia

4. Chadli Bendjdid El Tarf university,Computer science department,El taref,Algeria

5. Grenoble Alpes University, LIG-GETALP Laboratory,Grenoble,France

6. Badji Mokhtar University,Biochemistry department,Annaba,Algeria

Publisher

IEEE

Reference28 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-label text classification of cardiovascular drug attributes based on BERT and BiGRU;Journal of Intelligent & Fuzzy Systems;2024-04-18

2. Multi-label Textual Data Augmentation Using BERT Based on Transformer Model;Lecture Notes in Networks and Systems;2024

3. Hierarchical Label Text Classification Method with Deep-Level Label-Assisted Classification;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

4. A Profound Method for Three-Tier Toxic Word Classification using LSTM-RNN;2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET);2023-02-10

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