AIMC Topic: Electronic Health Records
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Estimating redundancy in clinical text.
Journal of biomedical informatics
Oct 23, 2021
The current mode of use of Electronic Health Records (EHR) elicits text redundancy. Clinicians often populate new documents by duplicating existing notes, then updating accordingly. Data duplication can lead to propagation of errors, inconsistencies ...
Natural language processing for cognitive therapy: Extracting schemas from thought records.
PloS one
Oct 18, 2021
The cognitive approach to psychotherapy aims to change patients' maladaptive schemas, that is, overly negative views on themselves, the world, or the future. To obtain awareness of these views, they record their thought processes in situations that c...
Machine learning-assisted screening for cognitive impairment in the emergency department.
Journal of the American Geriatrics Society
Oct 13, 2021
BACKGROUND/OBJECTIVES: Despite a high prevalence and association with poor outcomes, screening to identify cognitive impairment (CI) in the emergency department (ED) is uncommon. Identification of high-risk subsets of older adults is a critical chall...
Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.
Research in nursing & health
Oct 12, 2021
Data-driven characterization of symptom clusters in chronic conditions is essential for shared cluster detection and physiological mechanism discovery. This study aims to computationally describe symptom documentation from electronic nursing notes an...
Predicting bloodstream infection outcome using machine learning.
Scientific reports
Oct 11, 2021
Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwide. Early prediction of BSI patients at high risk of poor outcomes is important for earlier decision making and effective patient stratification. We de...
Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical records.
Journal of biomedical informatics
Oct 8, 2021
OBJECTIVES: A common prerequisite for tasks such as classification, prediction, clustering and retrieval of longitudinal medical records is a clinically meaningful similarity measure that considers both [multiple] variable (concept) values and their ...
Automation of penicillin adverse drug reaction categorisation and risk stratification with machine learning natural language processing.
International journal of medical informatics
Oct 5, 2021
BACKGROUND: The penicillin adverse drug reaction (ADR) label is common in electronic health records (EHRs). However, there is significant misclassification between allergy and intolerance within the EHR and most patients can be delabelled after an im...
An Accurate Deep Learning Model for Clinical Entity Recognition From Clinical Notes.
IEEE journal of biomedical and health informatics
Oct 5, 2021
The growing use of electronic health records in the medical domain results in generating a large amount of medical data that is stored in the form of clinical notes. These clinical notes are enriched with clinical entities like disease, treatment, te...
Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series.
IEEE transactions on neural networks and learning systems
Oct 5, 2021
Influenced by the dynamic changes in the severity of illness, patients usually take examinations in hospitals irregularly, producing a large volume of irregular medical time-series data. Performing diagnosis prediction from the irregular medical time...
Natural Language Mapping of Electrocardiogram Interpretations to a Standardized Ontology.
Methods of information in medicine
Oct 5, 2021
BACKGROUND: Interpretations of the electrocardiogram (ECG) are often prepared using software outside the electronic health record (EHR) and imported via an interface as a narrative note. Thus, natural language processing is required to create a compu...
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