Semantic Relation Extraction for Herb-Drug Interactions from the Biomedical Literature Using an Unsupervised Learning Approach
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8566098/8567439/08567511.pdf?arnumber=8567511
Cited by 6 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
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2. Knowledge and Beliefs about Herb/Supplement Consumption and Herb/Supplement–Drug Interactions among the General Population, including Healthcare Professionals and Pharmacists: A Systematic Review and Guidelines for a Smart Decision System;Nutrients;2023-05-13
3. Reducing Herb-Drug Interaction Risks: A Clinical Decision Support System for Community Pharmacy (Preprint);2023-03-28
4. Herb–Drug Interactions: A Holistic Decision Support System in Healthcare;2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom);2022-10-17
5. iPromoter-Seqvec: identifying promoters using bidirectional long short-term memory and sequence-embedded features;BMC Genomics;2022-10-03
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