Neural network-based approaches for biomedical relation classification: A review
Sign Up to like & getrecommendations! Published in 2019 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2019.103294
Abstract: The explosive growth of biomedical literature has created a rich source of knowledge, such as that on protein-protein interactions (PPIs) and drug-drug interactions (DDIs), locked in unstructured free text. Biomedical relation classification aims to automatically… read more here.
Keywords: network based; network; biomedical relation; based approaches ... See more keywords
K-RET: Knowledgeable Biomedical Relation Extraction System.
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad174
Abstract: MOTIVATION Relation Extraction (RE) is a crucial process to deal with the amount of text published daily, for example, to find missing associations in a database. RE is a text mining task for which the… read more here.
Keywords: relation extraction; knowledgeable biomedical; biomedical relation; extraction system ... See more keywords
Biomedical Relation Extraction With Knowledge Graph-Based Recommendations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3173558
Abstract: Biomedical Relation Extraction (RE) systems identify and classify relations between biomedical entities to enhance our knowledge of biological and medical processes. Most state-of-the-art systems use deep learning approaches, mainly to target relations between entities of… read more here.
Keywords: system; knowledge graph; relation extraction; biomedical relation ... See more keywords