Phar-LSTM: a pharmacological representation-based LSTM network for drug–drug interaction extraction

Phar-LSTM: a pharmacological representation-based LSTM network for drug–drug interaction extraction

Pharmacological drug interactions are among the most common causes of medication errors. Many different methods have been proposed to extract drug–drug interactions from the literature to reduce medication errors over the last few years. However, the performance of these methods can be further impro...

Full description

Bibliographic Details
Main Authors:	Mingqing Huang, Zhenchao Jiang, Shun Guo
Format:	Article
Language:	English
Published:	PeerJ Inc. 2023-12-01
Series:	PeerJ
Subjects:	Pharmacological representation Long short-term memory Multi-task learning Drug–drug interaction extraction
Online Access:	https://peerj.com/articles/16606.pdf

Similar Items

BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies
by: Andre Lamurias, et al.
Published: (2019-01-01)

Relation extraction based on CNN and Bi-LSTM
by: Xiaobin ZHANG, et al.
Published: (2018-09-01)

Relation extraction based on CNN and Bi-LSTM
by: Xiaobin ZHANG,Fucai CHEN,Ruiyang HUANG
Published: (2018-09-01)

An attention-based effective neural model for drug-drug interactions extraction
by: Wei Zheng, et al.
Published: (2017-10-01)

Drug-Drug Interaction Extraction from Biomedical Text Using Relation BioBERT with BLSTM
by: Maryam KafiKang, et al.
Published: (2023-06-01)

Multi-Feature Extraction of Pulmonary Nodules Based on LSTM and Attention Structure
by: NI Yangfan, YANG Yuanyuan, XIE Zhe, ZHENG Dezhong, WANG Weidong
Published: (2022-08-01)

A Clutter Suppression Method Based on LSTM Network for Ground Penetrating Radar
by: Jianrong Geng, et al.
Published: (2022-06-01)

Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
by: Risna Sari, et al.
Published: (2023-02-01)

DG-based SPO tuple recognition using self-attention M-Bi-LSTM
by: Joon-young Jung
Published: (2022-06-01)

A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
by: Sanad Aburass, et al.
Published: (2024-12-01)

Editorial: Drug-drug interactions in pharmacology
by: Simona Pichini, et al.
Published: (2023-02-01)

LSTM-Based Projectile Trajectory Estimation in a GNSS-Denied Environment
by: Alicia Roux, et al.
Published: (2023-03-01)

Microwave Tomography With LSTM-Based Processing of the Scattered Field
by: Alessandro Fedeli
Published: (2021-01-01)

Modeling Vehicle Interactions via Modified LSTM Models for Trajectory Prediction
by: Shengzhe Dai, et al.
Published: (2019-01-01)

基于深度学习的 LSTM 模型在 X 荧光光谱中的应用 = Application of an LSTM model based on deep learning through X-ray fluorescence spectroscopy
by: Tang, Lin, et al.
Published: (2024)

Multi‐layered attentional peephole convolutional LSTM for abstractive text summarization
by: Md. Motiur Rahman, et al.
Published: (2020-12-01)

Forecasting of the Prevalence of Dementia Using the LSTM Neural Network in Taiwan
by: Stephanie Yang, et al.
Published: (2021-02-01)

CM-LSTM Based Spectrum Sensing
by: Wantong Chen, et al.
Published: (2022-03-01)

Time Series Prediction Based on LSTM-Attention-LSTM Model
by: Xianyun Wen, et al.
Published: (2023-01-01)

TD-LSTM: Temporal Dependence-Based LSTM Networks for Marine Temperature Prediction
by: Jun Liu, et al.
Published: (2018-11-01)

Proposing Multimodal Integration Model Using LSTM and Autoencoder
by: Wataru Noguchi, et al.
Published: (2016-12-01)

A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM
by: Carlos Iturrino Garcia, et al.
Published: (2020-09-01)

An efficient and intelligent traffic flow prediction method based on LSTM and variational modal decomposition
by: Jingyi Lu
Published: (2023-08-01)

TransLSTM: A hybrid LSTM-Transformer model for fine-grained suggestion mining
by: Samad Riaz, et al.
Published: (2024-09-01)

A New Hybrid Model Based on SCINet and LSTM for Short-Term Power Load Forecasting
by: Mingping Liu, et al.
Published: (2023-12-01)

Tourism Demand Forecasting Based on an LSTM Network and Its Variants
by: Shun-Chieh Hsieh
Published: (2021-08-01)

LSTM-CNN Architecture for Human Activity Recognition
by: Kun Xia, et al.
Published: (2020-01-01)

Attention-Based Convolutional LSTM for Describing Video
by: Zhongyu Liu, et al.
Published: (2020-01-01)

TSFN: A Novel Malicious Traffic Classification Method Using BERT and LSTM
by: Zhaolei Shi, et al.
Published: (2023-05-01)

Multi-view feature representation and fusion for drug-drug interactions prediction
by: Jing Wang, et al.
Published: (2023-03-01)

Airport delay prediction model based on regional residual and LSTM network
by: Jingyi QU, et al.
Published: (2019-04-01)

Airport delay prediction model based on regional residual and LSTM network
by: Jingyi QU, et al.
Published: (2019-04-01)

Deep belief improved bidirectional LSTM for multivariate time series forecasting
by: Keruo Jiang, et al.
Published: (2023-08-01)

Convolutional Long Short-Term Memory (C-LSTM) For Multi Product Prediction
by: Putu Sugiartawan, et al.
Published: (2023-10-01)

Vehicle traffic forecasting models based on LSTM in application development
by: V.M.
Published: (2023-11-01)

LSTM-Based Virtual Load Sensor for Heavy-Duty Vehicles
by: Abdurrahman İşbitirici, et al.
Published: (2023-12-01)

An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
by: Wangyang Wei, et al.
Published: (2019-07-01)

Short-Term Load Forecasting Method Based on Multi-model Fusion Using CNN-LSTM-XGBoost Framework
by: Jiayi ZHUANG, et al.
Published: (2021-05-01)

Adverse Drug Reaction Detection From Social Media Based on Quantum Bi-LSTM With Attention
by: Xuqi Wang, et al.
Published: (2023-01-01)

A LSTM Based Model for Personalized Context-Aware Citation Recommendation
by: Libin Yang, et al.
Published: (2018-01-01)