Uncovering the Effects of Genes, Proteins, and Medications on Functions of Wound Healing: A Dependency Rule-Based Text Mining Approach Leveraging GPT-4 based Evaluation-Reference-Cited by-同舟云学术

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Uncovering the Effects of Genes, Proteins, and Medications on Functions of Wound Healing: A Dependency Rule-Based Text Mining Approach Leveraging GPT-4 based Evaluation

Published:2023-10-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
language:
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Author:

Jui Jayati H.¹,Hauskrecht Milos¹

Affiliation:

1. University of Pittsburgh,Department of Computer Science,Pittsburgh,PA,USA,15260

Funder

U.S. Department of the Interior

Interior Business Center

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313339/10313352/10313354.pdf?arnumber=10313354

Reference6 articles.

1. Discovering drug–target interaction knowledge from biomedical literature

2. DEXTER: Disease-Expression Relation Extraction from Text

3. A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations

4. BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences

5. Befree: a text mining system to extract relations between genes, diseases and drugs for translational research;bravo;SMBM 2014,2014

Cited by 1 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. Harnessing the Power of Large Language Models (LLMs) to Unravel the Influence of Genes and Medication on Biological Processes of Wound Healing^*;2024-03-29

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