Analysis of health-related texts can be used to detect adverse drug reactions (ADR). The greatest challenge for ADR detection lies in imbalanced data distributions where words …
With the rapid advancement in healthcare, there has been exponential growth in the healthcare records stored in large databases to help researchers, clinicians, and medical …
A Dey, J Shrivastava, C Kumar… - … International Journal of …, 2022 - academia.edu
The objective of this study is to observe the importance of social media in automatic extraction of Adverse Drug Reactions (ADRs) from different medical forum, social media like …
An extraction of significant information from Internet sources is an important task of pharmacovigilance due to the need for post-clinical drugs monitoring. This research …
I Alimova, V Solovyev - Artificial Intelligence and Natural Language: 7th …, 2018 - Springer
Detection of new adverse drug reactions is intended to both improve the quality of medications and drug reprofiling. Social media and electronic clinical reports are becoming …
A Dey, JN Shrivastava, C Kumar - Journal of Computational Social …, 2024 - Springer
Abstract Adverse Drug Reactions (ADRs) is a threat to human beings, sometimes it causes death. Thus, the detection of ADRs is crucial. This paper introduces a classical-quantum …
Adverse drug responses (ADRs) are unfavourable side effects of using a medication that result from the medication's pharmacological activity. Social media has gained popularity …
I Alimova, E Tutubalina - Proceedings of the 57th Annual Meeting …, 2019 - aclanthology.org
Detection of adverse drug reactions in postapproval periods is a crucial challenge for pharmacology. Social media and electronic clinical reports are becoming increasingly …
Adverse drug reactions (ADRs) are among the top causes of morbidity, mortality and substantial healthcare costs and thus should be detected early to reduce consequences on …