[HTML][HTML] Neural network-based approaches for biomedical relation classification: a review
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 …
as that on protein-protein interactions (PPIs) and drug-drug interactions (DDIs), locked in …
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications
With the abundant amount of available online and offline text data, there arises a crucial
need to extract the relation between phrases and summarize the main content of each …
need to extract the relation between phrases and summarize the main content of each …
Bioie: Biomedical information extraction with multi-head attention enhanced graph convolutional network
J Wu, R Zhang, T Gong, Y Liu… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Constructing large-scaled medical knowledge graphs (MKGs) can significantly boost
healthcare applications for medical surveillance, bring much attention from recent research …
healthcare applications for medical surveillance, bring much attention from recent research …
Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation
Q Chen, H Yao, D Zhou, S Li, L Dong - Computers & Geosciences, 2023 - Elsevier
The fact-condition statement plays a significant role in the geological papers, where
geological theory or phenomenon as a fact is constrained by its precondition. This constraint …
geological theory or phenomenon as a fact is constrained by its precondition. This constraint …
Protein interaction network reconstruction through ensemble deep learning with attention mechanism
F Li, F Zhu, X Ling, Q Liu - Frontiers in Bioengineering and …, 2020 - frontiersin.org
Protein interactions play an essential role in studying living systems and life phenomena. A
considerable amount of literature has been published on analyzing and predicting protein …
considerable amount of literature has been published on analyzing and predicting protein …
Delineation of ischemic lesion from brain MRI using attention gated fully convolutional network
R Karthik, M Radhakrishnan, R Rajalakshmi… - Biomedical Engineering …, 2021 - Springer
Precise delineation of the ischemic lesion from unimodal Magnetic Resonance Imaging
(MRI) is a challenging task due to the subtle intensity difference between the lesion and …
(MRI) is a challenging task due to the subtle intensity difference between the lesion and …
Interpretable machine learning methods for in vitro pharmaceutical formulation development
Background Machine learning has become an alternative approach for pharmaceutical
formulation development. However, many machine learning applications in pharmaceutics …
formulation development. However, many machine learning applications in pharmaceutics …
CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph
Background Elucidation of interactive relation between chemicals and genes is of key
relevance not only for discovering new drug leads in drug development but also for …
relevance not only for discovering new drug leads in drug development but also for …
[HTML][HTML] Attention guided capsule networks for chemical-protein interaction extraction
The biomedical literature contains a sufficient number of chemical-protein interactions
(CPIs). Automatic extraction of CPI is a crucial task in the biomedical domain, which has …
(CPIs). Automatic extraction of CPI is a crucial task in the biomedical domain, which has …
Chemical–protein interaction extraction via contextualized word representations and multihead attention
A rich source of chemical–protein interactions (CPIs) is locked in the exponentially growing
biomedical literature. Automatic extraction of CPIs is a crucial task in biomedical natural …
biomedical literature. Automatic extraction of CPIs is a crucial task in biomedical natural …