AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 381 to 390 of 493 articles

Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Linking emergency medical services (EMS) electronic patient care reports (ePCRs) to emergency department (ED) records can provide clinicians access to vital information that can alter management. It can also create rich databases for resea...
Logistic Models Emergency Service, Hospital Supervised Machine Learning Emergency Medical Services Retrospective Studies Medical Record Linkage Humans Female Algorithms Male
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Using clinical reasoning ontologies to make smarter clinical decision support systems: a systematic review and data synthesis.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: The study sought to describe the literature describing clinical reasoning ontology (CRO)-based clinical decision support systems (CDSSs) and identify and classify the medical knowledge and reasoning concepts and their properties within the...
Biological Ontologies Humans Clinical Reasoning Decision Support Systems, Clinical
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Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Electronic medical records (EMRs) can support medical research and discovery, but privacy risks limit the sharing of such data on a wide scale. Various approaches have been developed to mitigate risk, including record simulation via genera...
Age Distribution Humans Data Anonymization Privacy Datasets as Topic Female Child Adult Neural Networks, Computer Male Models, Theoretical Computer Simulation Electronic Health Records
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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 Neural Networks, Computer Electronic Health Records Unified Medical Language System Deep Learning Drug-Related Side Effects and Adverse Reactions Narration Knowledge Bases Natural Language Processing Information Storage and Retrieval
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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...
Information Storage and Retrieval Patient Discharge Summaries Humans Drug-Related Side Effects and Adverse Reactions Electronic Health Records Datasets as Topic Deep Learning Support Vector Machine 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 Neural Networks, Computer Electronic Health Records Deep Learning Narration Natural Language Processing Humans
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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...
Humans Neural Networks, Computer Electronic Health Records Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval 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...
Humans Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Terminology as Topic Electronic Health Records Neural Networks, Computer Narration Algorithms Natural Language Processing
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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...
Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Narration Natural Language Processing Humans Algorithms 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.
Humans Natural Language Processing Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Neural Networks, Computer Electronic Health Records Narration
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