[HTML][HTML] Adverse drug reaction detection in social media by deep learning methods

Z Rezaei, H Ebrahimpour-Komleh, B Eslami… - Cell Journal …, 2020 - ncbi.nlm.nih.gov
Objective Health-related studies have been recently at the heart attention of the media.
Social media, such as Twitter, has become a valuable online tool to describe the early …

A deep learning approach to extracting adverse drug reactions

F Odeh, A Taweel - 2019 IEEE/ACS 16th International …, 2019 - ieeexplore.ieee.org
The wide use of Social media networks have changed the way patients share their health
experiences. They offer valuable information on drugs and their side effects directly from …

[HTML][HTML] Adverse drug reaction detection on social media with deep linguistic features

Y Zhang, S Cui, H Gao - Journal of biomedical informatics, 2020 - Elsevier
Adverse reactions caused by drugs are one of the most important public health problems.
Social media has encouraged more patients to share their drug use experiences and has …

Detecting adverse drug reactions from social media based on multichannel convolutional neural networks modified by support vector machine

M Rakhsha, MR Keyvanpour… - 2021 7th International …, 2021 - ieeexplore.ieee.org
Prescribing medication is a task that physicians face every day. However, when prescribing
medication, physicians should be aware of all possible side effects of the drug. Drug-related …

Detecting adverse drug reactions on Twitter with convolutional neural networks and word embedding features

AJ Masino, D Forsyth, AG Fiks - Journal of Healthcare Informatics …, 2018 - Springer
Motivated by limitations of adverse drug reaction (ADR) detection in clinical trials and
passive post-market drug safety surveillance systems, a number of researchers have …

Detecting adverse drug reactions from social media based on multi-channel convolutional neural networks

C Shen, H Lin, K Guo, K Xu, Z Yang, J Wang - Neural Computing and …, 2019 - Springer
As one of the most important medical field subjects, adverse drug reaction seriously affects
the patient's life, health, and safety. Although many methods have been proposed, there are …

Predicting adverse drug reactions from social media posts: data balance, feature selection and deep learning

JY Huang, WP Lee, KD Lee - Healthcare, 2022 - mdpi.com
Social forums offer a lot of new channels for collecting patients' opinions to construct
predictive models of adverse drug reactions (ADRs) for post-marketing surveillance …

[HTML][HTML] Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts

I Korkontzelos, A Nikfarjam, M Shardlow… - Journal of biomedical …, 2016 - Elsevier
Objective The abundance of text available in social media and health related forums along
with the rich expression of public opinion have recently attracted the interest of the public …

Estimation of the prevalence of adverse drug reactions from social media

T Nguyen, ME Larsen, B O'Dea, D Phung… - International journal of …, 2017 - Elsevier
This work aims to estimate the degree of adverse drug reactions (ADR) for psychiatric
medications from social media, including Twitter, Reddit, and LiveJournal. Advances in …

Classifying adverse drug reactions from imbalanced twitter data

HJ Dai, CK Wang - International journal of medical informatics, 2019 - Elsevier
Background Nowadays, social media are often being used by general public to create and
share public messages related to their health. With the global increase in social media …