Deep Neural Pretraining for Improving Diagnostic and Therapeutic Entity Recognition in Electronic Medical Records-Reference-Cited by-同舟云学术

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Deep Neural Pretraining for Improving Diagnostic and Therapeutic Entity Recognition in Electronic Medical Records

Published:2023-10-20 Issue: Volume:16 Page:1-8
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
language:
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Author:

Enquero Shreya Patchala¹,Sunil G²,Kumar Suvarna Sunil³,Lavanya Chunduri⁴,Siddhanti Prateeksha⁵

Affiliation:

1. Global-A Genpact Company,Bangalore,India

2. School of Computer Science & Artificial Intelligence SR University,Warangal,India

3. Malla Reddy Engineering College for Women,IT Department,Hyderabad,Dhulapally,India

4. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaadeswaram,India

5. Nitte Meenakshi Institute of Technology,Department of AI and ML,Bengaluru,Yelahanka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393025.pdf?arnumber=10393025

Reference21 articles.

1. Evaluation of clinical named entity recognition methods for Serbian electronic health records

2. Multi-level semantic fusion network for Chinese medical named entity recognition

3. Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network

4. M-FFN: multi-scale feature fusion network for image captioning

5. Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

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