AIMC Topic: Drug-Related Side Effects and Adverse Reactions

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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...
Datasets as Topic Information Storage and Retrieval Patient Discharge Summaries Support Vector Machine Humans Natural Language Processing Electronic Health Records Drug-Related Side Effects and Adverse Reactions 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.
Natural Language Processing Humans Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Information Storage and Retrieval 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...
Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Humans Neural Networks, Computer Electronic Health Records Deep Learning Natural Language Processing Drug Interactions
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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...
Neural Networks, Computer Algorithms Electronic Health Records Humans Information Storage and Retrieval Terminology as Topic Narration Natural Language Processing Drug-Related Side Effects and Adverse Reactions
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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 Information Storage and Retrieval Narration Natural Language Processing Algorithms Drug-Related Side Effects and Adverse Reactions Electronic Health Records
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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.
Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Humans Neural Networks, Computer Electronic Health Records Narration Natural Language Processing
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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
Prostatic Neoplasms Drug-Related Side Effects and Adverse Reactions United States Food and Drug Administration Cytochrome P-450 Enzyme Inhibitors Drug Industry Humans Drug Discovery Machine Learning Cytochrome P-450 Enzyme System Artificial Intelligence United States Male Drug Approval Parkinson Disease Drug Design
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Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
BACKGROUND: Drug prescription errors are made, worldwide, on a daily basis, resulting in a high burden of morbidity and mortality. Existing rule-based systems for prevention of such errors are unsuccessful and associated with substantial burden of fa...
Israel Humans Academic Medical Centers Machine Learning Prospective Studies Medication Errors Decision Support Systems, Clinical Algorithms Drug Therapy, Computer-Assisted Drug-Related Side Effects and Adverse Reactions Patient Safety Medication Systems, Hospital Medical Order Entry Systems
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An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction.

Studies in health technology and informatics Aug 21, 2019
Prescription information and adverse drug reactions (ADR) are two components of detailed medication instructions that can benefit many aspects of clinical research. Automatic extraction of this information from free-text narratives via Information Ex...
Drug Prescriptions Knowledge Bases Natural Language Processing Information Storage and Retrieval Drug-Related Side Effects and Adverse Reactions Semantics
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