[HTML][HTML] From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
Deep learning (DL) has substantially enhanced natural language processing (NLP) in
healthcare research. However, the increasing complexity of DL-based NLP necessitates …
healthcare research. However, the increasing complexity of DL-based NLP necessitates …
A Review of Drug-related Associations Prediction Based on Artificial Intelligence Methods
Background: Predicting drug-related associations is an important task in drug development
and discovery. With the rapid advancement of high-throughput technologies and various …
and discovery. With the rapid advancement of high-throughput technologies and various …
[HTML][HTML] CA-SQBG: Cross-attention guided Siamese quantum BiGRU for drug-drug interaction extraction
T Zhang, C Yu, S Zhang - Computers in Biology and Medicine, 2025 - Elsevier
Accurate and efficient drug-drug interaction extraction (DDIE) from the medical corpus is
essential for pharmacovigilance, drug therapy and drug development. To solve the problems …
essential for pharmacovigilance, drug therapy and drug development. To solve the problems …
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
Extracting meaningful drug-related information chunks, such as adverse drug events (ADE),
is crucial for preventing morbidity and saving many lives. Most ADEs are reported via an …
is crucial for preventing morbidity and saving many lives. Most ADEs are reported via an …
Multi-Aspect Learning for Drug Information Extraction
J Yang - 2024 - ses.library.usyd.edu.au
In modern healthcare, medical professionals play a vital role in promoting health. One
fundamental task of clinical physicians and pharmacists is to work together to provide …
fundamental task of clinical physicians and pharmacists is to work together to provide …