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Drug-Related Side Effects and Adverse Reactions

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Application of Augmented Intelligence for Pharmacovigilance Case Seriousness Determination.

Drug safety Jan 1, 2020
INTRODUCTION: Identification of adverse events and determination of their seriousness ensures timely detection of potential patient safety concerns. Adverse event seriousness is a key factor in defining reporting timelines and is often performed manu...
Neural Networks, Computer Humans Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Pharmacovigilance
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Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Detecting adverse drug events (ADEs) and medications related information in clinical notes is important for both hospital medical care and medical research. We describe our clinical natural language processing (NLP) system to automatically...
Knowledge Bases Information Storage and Retrieval Unified Medical Language System Narration Natural Language Processing Drug-Related Side Effects and Adverse Reactions Electronic Health Records Deep Learning Humans Neural Networks, Computer
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2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This article summarizes the preparation, organization, evaluation, and results of Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on extraction of adverse drug events (ADEs) from clinical records and evalu...
Patient Discharge Summaries Drug-Related Side Effects and Adverse Reactions Datasets as Topic Information Storage and Retrieval Support Vector Machine Humans Natural Language Processing Electronic Health Records Deep Learning
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Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: To develop a natural language processing system that identifies relations of medications with adverse drug events from clinical narratives. This project is part of the 2018 n2c2 challenge.
Information Storage and Retrieval Natural Language Processing Drug-Related Side Effects and Adverse Reactions Humans Neural Networks, Computer Electronic Health Records Deep Learning Narration
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Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Identification of drugs, associated medication entities, and interactions among them are crucial to prevent unwanted effects of drug therapy, known as adverse drug events. This article describes our participation to the n2c2 shared-task in...
Electronic Health Records Deep Learning Natural Language Processing Drug Interactions Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Humans Neural Networks, Computer
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Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: An adverse drug event (ADE) refers to an injury resulting from medical intervention related to a drug including harm caused by drugs or from the usage of drugs. Extracting ADEs from clinical records can help physicians associate adverse ev...
Algorithms Electronic Health Records Narration Humans Neural Networks, Computer Terminology as Topic Natural Language Processing Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval
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Ensemble method-based extraction of medication and related information from clinical texts.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Accurate and complete information about medications and related information is crucial for effective clinical decision support and precise health care. Recognition and reduction of adverse drug events is also central to effective patient c...
Humans Algorithms Natural Language Processing Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Electronic Health Records Narration
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An ensemble of neural models for nested adverse drug events and medication extraction with subwords.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This article describes an ensembling system to automatically extract adverse drug events and drug related entities from clinical narratives, which was developed for the 2018 n2c2 Shared Task Track 2.
Information Storage and Retrieval Humans Neural Networks, Computer Electronic Health Records Narration Natural Language Processing Drug-Related Side Effects and Adverse Reactions
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A study of deep learning approaches for medication and adverse drug event extraction from clinical text.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This article presents our approaches to extraction of medications and associated adverse drug events (ADEs) from clinical documents, which is the second track of the 2018 National NLP Clinical Challenges (n2c2) shared task.
Machine Learning Algorithms Electronic Health Records Humans Pharmaceutical Preparations Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Deep Learning Narration Natural Language Processing
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Hunting for New Drugs with AI.

Nature Dec 1, 2019
Drug Approval Cytochrome P-450 Enzyme Inhibitors Drug Industry Cytochrome P-450 Enzyme System Machine Learning Prostatic Neoplasms Drug Discovery Male Humans Drug-Related Side Effects and Adverse Reactions United States Drug Design Artificial Intelligence United States Food and Drug Administration Parkinson Disease
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