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The use of natural language processing of infusion notes to identify outpatient infusions.

Pharmacoepidemiology and drug safety Nov 17, 2014
PURPOSE: Outpatient infusions are commonly missing in Veterans Health Affairs (VHA) pharmacy dispensing data sets. Currently, Healthcare Common Procedure Coding System (HCPCS) codes are used to identify outpatient infusions, but concerns exist if the...
Longitudinal Studies United States Department of Veterans Affairs Antibodies, Monoclonal Outpatients Infusions, Intravenous Humans Registries Healthcare Common Procedure Coding System Prospective Studies Natural Language Processing United States Infliximab Ambulatory Care
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An ontology-based annotation of cardiac implantable electronic devices to detect therapy changes in a national registry.

IEEE journal of biomedical and health informatics Jul 11, 2014
The patient population benefitting from cardiac implantable electronic devices (CIEDs) is increasing. This study introduces a device annotation method that supports the consistent description of the functional attributes of cardiac devices and evalua...
Humans Registries Data Curation User-Computer Interface Electronics, Medical Decision Support Systems, Clinical Pacemaker, Artificial Prostheses and Implants Medical Informatics Biological Ontologies Diagnostic Techniques, Cardiovascular
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Prediction of hypertension and diabetes in twin pregnancy using machine learning model based on characteristics at first prenatal visit: national registry study.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology May 1, 2025
OBJECTIVE: To develop a prediction model for hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM) in twin pregnancy using characteristics obtained at the first prenatal visit.
Female Risk Factors Adult Cross-Sectional Studies Humans Machine Learning Pregnancy Registries Diabetes, Gestational Hypertension, Pregnancy-Induced Pregnancy, Twin Prenatal Care Incidence United States Predictive Value of Tests
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Evaluating robustly standardized explainable anomaly detection of implausible variables in cancer data.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2025
OBJECTIVES: Explanations help to understand why anomaly detection algorithms identify data as anomalous. This study evaluates whether robustly standardized explanation scores correctly identify the implausible variables that make cancer data anomalou...
Humans Algorithms Neural Networks, Computer Lung Neoplasms Urinary Bladder Neoplasms Registries
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Prevalence, incidence, and mortality of inflammatory bowel disease in the Netherlands: development and external validation of machine learning models.

Journal of Crohn's & colitis Feb 4, 2025
BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory bowel disease (IBD). We aimed to develop and validate machine learning models to identify IBD cases in administrative data, aiming to determine the pr...
Adolescent Incidence Registries Netherlands Adult Male Middle Aged Prevalence Female Aged Young Adult Humans Machine Learning Inflammatory Bowel Diseases
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Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modeling.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias Feb 1, 2025
OBJECTIVE: To develop a scale to predict refractory septic shock (SS) based on clinical variables recorded during initial evaluations of patients.
Male Middle Aged Risk Assessment ROC Curve Intensive Care Units Female Aged Norepinephrine Shock, Septic Regression Analysis Emergency Service, Hospital Registries Humans Machine Learning Retrospective Studies
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Developing a nationwide registry of UK veterans seeking help from sector charities-a machine learning approach to stratification.

European journal of public health Feb 1, 2025
The assistance to veterans in the UK is provided by the National Health Service and over 1800 military charities. These charities count services using different definitions and reporting systems, so to date a national registry of service usage does n...
Humans Machine Learning Female Charities Middle Aged Registries United Kingdom Veterans Aged Adult Male
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Diagnostic Performance of AI-enabled Plaque Quantification from Coronary CT Angiography Compared with Intravascular Ultrasound.

Radiology. Cardiothoracic imaging Dec 1, 2024
Purpose To assess the diagnostic performance of a coronary CT angiography (CCTA) artificial intelligence (AI)-enabled tool (AI-QCPA; HeartFlow) to quantify plaque volume, as compared with intravascular US (IVUS). Materials and Methods A retrospective...
Humans Registries Male Artificial Intelligence Middle Aged Computed Tomography Angiography Coronary Artery Disease Retrospective Studies Prospective Studies Coronary Angiography Coronary Vessels Female Ultrasonography, Interventional Plaque, Atherosclerotic Aged
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A Federated Registration System for Artificial Intelligence in Health.

JAMA Sep 10, 2024
Registries Practice Guidelines as Topic Federal Government Risk Evaluation and Mitigation Humans Artificial Intelligence Digital Health United States
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Comparison of Ensemble Learning Methods for Classification in Cancer Registries.

Studies in health technology and informatics Aug 22, 2024
Significant developments are currently underway in the field of cancer research, particularly in Germany, regarding cancer registration and the use of medical information systems. The use of such systems contributes significantly to quality assurance...
User-Computer Interface Registries Germany Humans Artificial Intelligence Machine Learning Algorithms Neoplasms
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