AIMC Journal:
International journal of medical informatics

Showing 291 to 300 of 372 articles

Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification.

International journal of medical informatics Aug 5, 2019
BACKGROUND: Diabetic Retinopathy (DR) is considered a pathology of retinal vascular complications, which stays in the top causes of vision impairment and blindness. Therefore, precisely inspecting its progression enables the ophthalmologists to set u...
Neural Networks, Computer Machine Learning Algorithms Humans Image Processing, Computer-Assisted Electronic Health Records Fundus Oculi Diabetic Retinopathy Risk Factors Photography ROC Curve
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Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.

International journal of medical informatics Jul 6, 2019
BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The real-time recording of death certificates, thanks to Electronic Death Registration System (EDRS), provides valuable data for reactive mortality surveil...
Adult Male Support Vector Machine Humans France Classification Disease Public Health Surveillance Cause of Death Supervised Machine Learning Epidemiological Monitoring Death Certificates
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Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.

International journal of medical informatics Jul 6, 2019
OBJECTIVE: Electronic health record (EHR) systems contain structured data (such as diagnostic codes) and unstructured data (clinical documentation). Clinical insights can be derived from analyzing both. The use of natural language processing (NLP) al...
Non-alcoholic Fatty Liver Disease Female Humans Disease Progression Male Cohort Studies Algorithms Middle Aged Natural Language Processing Electronic Health Records
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Prediction of emergency department patient disposition based on natural language processing of triage notes.

International journal of medical informatics Jun 13, 2019
BACKGROUND: Nursing triage documentation is the first free-form text data created at the start of an emergency department (ED) visit. These 1-3 unstructured sentences reflect the clinical impression of an experienced nurse and are key in gauging a pa...
Emergency Service, Hospital Medical Records Hospitalization Humans Triage Natural Language Processing Neural Networks, Computer Retrospective Studies
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Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.

International journal of medical informatics Jun 8, 2019
BACKGROUND: Last-minute surgery cancellation represents a major wastage of resources and can cause significant inconvenience to patients. Our objectives in this study were: 1) To develop predictive models of last-minute surgery cancellation, utilizin...
Electronic Health Records Child ROC Curve Logistic Models Data Mining General Surgery Humans Machine Learning
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Machine learning approaches for risk assessment of peripherally inserted Central catheter-related vein thrombosis in hospitalized patients with cancer.

International journal of medical informatics Jun 7, 2019
OBJECTIVE: The aim of this study was to conduct an effective assessment of peripherally inserted central venous catheter (PICC)-related thrombosis based on machine learning (ML) techniques considering genotype.
Catheterization, Central Venous Thrombosis Neoplasms China Catheterization, Peripheral Hospitalization Risk Assessment Humans Machine Learning Prospective Studies Risk Factors
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Measuring the effect of different types of unsupervised word representations on Medical Named Entity Recognition.

International journal of medical informatics Jun 5, 2019
BACKGROUND: This work deals with Natural Language Processing applied to the clinical domain. Specifically, the work deals with a Medical Entity Recognition (MER) on Electronic Health Records (EHRs). Developing a MER system entailed heavy data preproc...
Semantics Subject Headings Neural Networks, Computer Algorithms Electronic Health Records Natural Language Processing
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Detecting adverse drug reactions in discharge summaries of electronic medical records using Readpeer.

International journal of medical informatics May 25, 2019
BACKGROUND: Hospital discharge summaries offer a potentially rich resource to enhance pharmacovigilance efforts to evaluate drug safety in real-world clinical practice. However, it is infeasible for experts to read through all discharge summaries to ...
Medical Errors Drug-Related Side Effects and Adverse Reactions Humans Adverse Drug Reaction Reporting Systems Natural Language Processing Machine Learning Singapore Algorithms Patient Discharge Electronic Health Records
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Categorization of free-text drug orders using character-level recurrent neural networks.

International journal of medical informatics May 23, 2019
BACKGROUND AND PURPOSE: Manual annotation and categorization of non-standardized text ("free-text") of drug orders entered into electronic health records is a labor-intensive task. However, standardization is required for drug order analyses and has ...
Support Vector Machine Neural Networks, Computer Electronic Health Records Machine Learning Deep Learning Decision Support Systems, Clinical
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HypernasalityNet: Deep recurrent neural network for automatic hypernasality detection.

International journal of medical informatics May 23, 2019
BACKGROUND: Cleft palate patients have inability to produce adequate velopharyngeal closure, which results in hypernasal speech. In clinic, hypernasal speech is assessed through subject assessment by speech language pathologists. Automatic hypernasal...
Cleft Palate Nose Diseases Adolescent Child, Preschool Child Humans Neural Networks, Computer Female Male Speech
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