AIMC Topic: Electronic Health Records

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[Digitalization in surgery : What surgeons currently think and know about it-results of an online survey].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen Jan 1, 2020
BACKGROUND: The digitalization process is currently on everyone's lips and sweeping changes in the field of public health and especially in surgery are to be expected within the next few years. Besides general issues, such as electronic health record...
Attitude of Health Personnel Risk Factors Humans Robotic Surgical Procedures Surgeons General Surgery Artificial Intelligence Surveys and Questionnaires Electronic Health Records
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Imputation and characterization of uncoded self-harm in major mental illness using machine learning.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with major mental illness (MMI), characterize self-harm incidence, and identify factors associated with coding bias.
Adult Humans Mental Disorders Self-Injurious Behavior Incidence Machine Learning Clinical Coding Male Electronic Health Records Datasets as Topic Algorithms Suicidal Ideation Female Classification
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Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This study focuses on the task of automatically assigning standardized (topical) subject headings to free-text sentences in clinical nursing notes. The underlying motivation is to support nurses when they document patient care by developin...
Finland Nursing Records Standardized Nursing Terminology Natural Language Processing Electronic Health Records Subject Headings Abstracting and Indexing
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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...
Humans Neural Networks, Computer Computer Simulation Electronic Health Records Female Age Distribution Data Anonymization Adult Male Privacy Datasets as Topic Child Models, Theoretical
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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...
Information Storage and Retrieval Unified Medical Language System Natural Language Processing Drug-Related Side Effects and Adverse Reactions Humans Knowledge Bases Neural Networks, Computer Electronic Health Records Deep Learning Narration
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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 Electronic Health Records Deep Learning Support Vector Machine Natural Language Processing Drug-Related Side Effects and Adverse Reactions Datasets as Topic Humans
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Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.

Computers, informatics, nursing : CIN Jan 1, 2020
Massive generation of health-related data has been key in enabling the big data science initiative to gain new insights in healthcare. Nursing can benefit from this era of big data science, as there is a growing need for new discoveries from large qu...
Machine Learning Electronic Health Records Hospitals Humans Data Mining Knowledge Discovery Support Vector Machine Catheter-Related Infections Urinary Tract Infections
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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.
Humans Information Storage and Retrieval Narration Neural Networks, Computer Natural Language Processing Electronic Health Records Drug-Related Side Effects and Adverse Reactions Deep Learning
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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 Interactions Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Humans Electronic Health Records Neural Networks, Computer Deep Learning Natural Language Processing
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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 Neural Networks, Computer Algorithms Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Terminology as Topic Electronic Health Records Narration Natural Language Processing
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