Extraction of adverse drug effects from clinical records
With the rapidly growing use of electronic health records, the possibility of large-scale
clinical information extraction has drawn much attention. We aim to extract adverse drug …
clinical information extraction has drawn much attention. We aim to extract adverse drug …
Early detection of adverse drug reaction signals by association rule mining using large-scale administrative claims data
H Yamamoto, G Kayanuma, T Nagashima, C Toda… - Drug Safety, 2023 - Springer
Abstract Introduction Adverse drug reactions (ADRs) are a leading cause of mortality
worldwide and should be detected promptly to reduce health risks to patients. A data-mining …
worldwide and should be detected promptly to reduce health risks to patients. A data-mining …
[HTML][HTML] Adverse drug reaction detection in social media by deep learning methods
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 …
Social media, such as Twitter, has become a valuable online tool to describe the early …
[PDF][PDF] An ensemble method for binary classification of adverse drug reactions from social media
This paper describes the system we developed for PSB 2016 social media mining shared
task on binary classification of adverse drug reactions (ADRs). The task focuses on …
task on binary classification of adverse drug reactions (ADRs). The task focuses on …
Adverse drug effect detection
Large collections of electronic patient records provide abundant but under-explored
information on the real-world use of medicines. Although they are maintained for patient …
information on the real-world use of medicines. Although they are maintained for patient …
Predicting drug functions from adverse drug reactions by multi-label deep neural network
P Das, DH Mazumder - Multimodal AI in healthcare: A paradigm shift in …, 2022 - Springer
Drug functions classification plays a vital role in the area of drug development. Drug
discovery and development is a complex and tedious process that is costly. Misleading drug …
discovery and development is a complex and tedious process that is costly. Misleading drug …
Sentence transformers and bayesian optimization for adverse drug effect detection from twitter
O Gencoglu - Proceedings of the Fifth Social Media Mining for …, 2020 - aclanthology.org
This paper describes our approach for detecting adverse drug effect mentions on Twitter as
part of the Social Media Mining for Health Applications (SMM4H) 2020, Shared Task 2. Our …
part of the Social Media Mining for Health Applications (SMM4H) 2020, Shared Task 2. Our …
[HTML][HTML] Filtering big data from social media–Building an early warning system for adverse drug reactions
M Yang, M Kiang, W Shang - Journal of biomedical informatics, 2015 - Elsevier
Abstract Objectives Adverse drug reactions (ADRs) are believed to be a leading cause of
death in the world. Pharmacovigilance systems are aimed at early detection of ADRs. With …
death in the world. Pharmacovigilance systems are aimed at early detection of ADRs. With …
Feature engineering for recognizing adverse drug reactions from twitter posts
Social media platforms are emerging digital communication channels that provide an easy
way for common people to share their health and medication experiences online. With more …
way for common people to share their health and medication experiences online. With more …