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Narration

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Advancing the state of the art in automatic extraction of adverse drug events from narratives.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
Natural Language Processing Drug-Related Side Effects and Adverse Reactions Medical Records Information Storage and Retrieval Electronic Health Records Humans Narration
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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...
Humans Drug-Related Side Effects and Adverse Reactions Knowledge Bases Unified Medical Language System Deep Learning Neural Networks, Computer Information Storage and Retrieval Electronic Health Records Narration Natural Language Processing
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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.
Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Deep Learning Narration Humans Natural Language Processing Neural Networks, Computer Electronic Health Records
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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...
Natural Language Processing Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Electronic Health Records Narration Terminology as Topic Neural Networks, Computer Algorithms Humans
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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...
Algorithms Electronic Health Records Narration Humans Information Storage and Retrieval Natural Language Processing Drug-Related Side Effects and Adverse Reactions
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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.
Electronic Health Records Narration Drug-Related Side Effects and Adverse Reactions Humans Information Storage and Retrieval Natural Language Processing Neural Networks, Computer
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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.
Algorithms Electronic Health Records Deep Learning Humans Machine Learning Pharmaceutical Preparations Narration Drug-Related Side Effects and Adverse Reactions Natural Language Processing Information Storage and Retrieval
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Data-driven method to enhance craniofacial and oral phenotype vocabularies.

Journal of the American Dental Association (1939) Nov 1, 2019
BACKGROUND: A significant amount of clinical information captured as free-text narratives could be better used for several applications, such as clinical decision support, ontology development, evidence-based practice, and research. The Human Phenoty...
Natural Language Processing Vocabulary Phenotype Electronic Health Records Humans Narration
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Learning to detect and understand drug discontinuation events from clinical narratives.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety surveillance. Structured data resources are often incomplete and lack reason information. In this article...
Area Under Curve Pharmacovigilance Product Surveillance, Postmarketing Humans Narration Drug Therapy Electronic Health Records Machine Learning Natural Language Processing Support Vector Machine
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Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task.

Studies in health technology and informatics Aug 21, 2019
In this paper, we trained a set of Portuguese clinical word embedding models of different granularities from multi-specialty and multi-institutional clinical narrative datasets. Then, we assessed their impact on a downstream biomedical NLP task of Ur...
Portugal Narration Machine Learning Natural Language Processing Language
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