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Pharmacovigilance
17 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Identifying adverse drug events and suspect drugs
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17 shown of 17 papers with code (56 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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26 Mar 2025 2 repositories listedReliable drug safety reference databases are essential for pharmacovigilance, yet existing resources like SIDER are outdated and static.
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27 Mar 2024 2 repositories listedUser-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world.
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7 May 2025 1 repository listedIn the realm of cancer treatment, summarizing adverse drug events (ADEs) reported by patients using prescribed drugs is crucial for enhancing pharmacovigilance practices and improving drug-related decision-making.
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3 Apr 2025 1 repository listedAccurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, is a critical task with applications in pharmacovigilance and safety monitoring.
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26 Mar 2025 1 repository listedSemantic similarity measures (SSMs) are widely used in biomedical research but remain underutilized in pharmacovigilance.
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10 Feb 2025 1 repository listedHowever, the scarcity of higher-order datasets that capture the combinatorial effects of multiple drugs severely limits progress in this field.
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3 Aug 2024 1 repository listedThis technique involves augmenting a query to an LLM with relevant information extracted from text resources, and instructing the LLM to compose a response consistent with the augmented data.
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24 May 2024 1 repository listedAdditionally, we introduce a framework that leverages the capabilities of LLMs and VLMs for ADE detection by generating detailed descriptions of medical images depicting ADEs, aiding healthcare professionals in visually…
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24 Feb 2024 1 repository listedWith the advent of large language models (LLMs), there has been growing interest in exploring their potential for medical applications.
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8 Jun 2023 1 repository listedAdverse Event (ADE) extraction is one of the core tasks in digital pharmacovigilance, especially when applied to informal texts.
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22 May 2023 1 repository listedWe introduce BioDEX, a large-scale resource for Biomedical adverse Drug Event Extraction, rooted in the historical output of drug safety reporting in the U.
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22 Oct 2022 1 repository listedThe primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions.
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19 May 2021 1 repository listedIn recent years, Internet users are reporting Adverse Drug Events (ADE) on social media, blogs and health forums.
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18 Apr 2020 1 repository listedThis paper explores whether the use of drug reviews and social media could be leveraged as potential alternative sources for pharmacovigilance of adverse drug reactions (ADRs).
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23 Sep 2019 1 repository listedThe recurrent neural networks that use the pre-trained domain-specific word embeddings and a CRF layer for label optimization perform drug, adverse event and related entities extraction with micro-averaged F1-score of…
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24 Sep 2016 1 repository listedDrug name recognition (DNR) is an essential step in the Pharmacovigilance (PV) pipeline.
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25 Jun 2016 1 repository listedSequence labeling for extraction of medical events and their attributes from unstructured text in Electronic Health Record (EHR) notes is a key step towards semantic understanding of EHRs.
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