AIMC Topic: Aged

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Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease.

The Journal of clinical investigation Mar 2, 2020
BACKGROUNDCeramides are sphingolipids that play causative roles in diabetes and heart disease, with their serum levels measured clinically as biomarkers of cardiovascular disease (CVD).METHODSWe performed targeted lipidomics on serum samples from ind...
Humans Male Middle Aged Ceramides Coronary Artery Disease Cholesterol Machine Learning Biomarkers Female Aged Adult
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Application of Convolutional Neural Networks for Detection of Superficial Nonampullary Duodenal Epithelial Tumors in Esophagogastroduodenoscopic Images.

Clinical and translational gastroenterology Mar 1, 2020
OBJECTIVES: A superficial nonampullary duodenal epithelial tumor (SNADET) is defined as a mucosal or submucosal sporadic tumor of the duodenum that does not arise from the papilla of Vater. SNADETs rarely metastasize to the lymph nodes, and most can ...
Humans Female Aged Aged, 80 and over Adult Endoscopy, Digestive System Duodenal Neoplasms Image Processing, Computer-Assisted Duodenum Tumor Burden Male Datasets as Topic Middle Aged Neoplasms, Glandular and Epithelial Deep Learning Time Factors
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Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer.

JCO clinical cancer informatics Mar 1, 2020
PURPOSE: For patients with early-stage breast cancer, predicting the risk of metastatic relapse is of crucial importance. Existing predictive models rely on agnostic survival analysis statistical tools (eg, Cox regression). Here we define and evaluat...
Neoplasm Metastasis Predictive Value of Tests Neoplasm Staging Neoplasm Recurrence, Local Tumor Burden Humans Survival Rate Machine Learning Breast Neoplasms Algorithms Aged Biomarkers, Tumor Computer Simulation Aged, 80 and over Female Middle Aged Young Adult Age Factors Adult
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Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.

Korean journal of radiology Mar 1, 2020
OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a deep learning-based denoising algorithm (DLA) with LD CT images reconstructed with a filtered back projection (FBP) and advanced modeled iterative reco...
Young Adult Adult Male Middle Aged Deep Learning ROC Curve Abdomen Body Mass Index Area Under Curve Humans Tomography, X-Ray Computed Female Aged Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio
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Temporal convolutional networks allow early prediction of events in critical care.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: Clinical interventions and death in the intensive care unit (ICU) depend on complex patterns in patients' longitudinal data. We aim to anticipate these events earlier and more consistently so that staff can consider preemptive action.
Middle Aged Hospital Mortality Logistic Models Critical Care Humans Hospitalization Neural Networks, Computer Aged Aged, 80 and over Machine Learning Male Computer Simulation Prognosis Intensive Care Units Female
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Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach.

International psychogeriatrics Mar 1, 2020
OBJECTIVES: To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not.
Aggression Delusions Behavioral Symptoms Middle Aged Disease Progression Machine Learning Anxiety Female Depression Aged Cognitive Dysfunction Aged, 80 and over Dementia Humans Male Longitudinal Studies Neuropsychological Tests Sleep Wake Disorders
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A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

Eye & contact lens Mar 1, 2020
PURPOSE: To evaluate the efficacy of deep learning in judging the need for rebubbling after Descemet's endothelial membrane keratoplasty (DMEK).
Fuchs' Endothelial Dystrophy ROC Curve Models, Theoretical Visual Acuity Area Under Curve Tomography, Optical Coherence Reoperation Descemet Membrane Descemet Stripping Endothelial Keratoplasty Corneal Endothelial Cell Loss Retrospective Studies Female Aged Male Deep Learning Humans
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Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram.

Journal of the American College of Cardiology Feb 25, 2020
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is an uncommon but important cause of sudden cardiac death.
Humans Middle Aged Neural Networks, Computer Electrocardiography Algorithms Cardiomyopathy, Hypertrophic Female Models, Cardiovascular Aged Adult Male
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Classification Techniques for Cardio-Vascular Diseases Using Supervised Machine Learning.

Medical archives (Sarajevo, Bosnia and Herzegovina) Feb 1, 2020
INTRODUCTION: The World Health Organization has estimated that 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the developed countries are due to cardiovascular diseases. The early prognosis of cardiovascular d...
Terminology as Topic Diagnostic Techniques, Cardiovascular Humans Female Adult Aged Aged, 80 and over Male Cardiovascular Diseases Middle Aged Supervised Machine Learning
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Identification of prognostic immune-related signature predicting the overall survival for colorectal cancer.

European review for medical and pharmacological sciences Feb 1, 2020
OBJECTIVE: The morbidity and mortality of patients with colorectal cancer, one of the most common malignant tumors worldwide, is steadily increasing. The aim of this study was to investigate the association between prognostic immune-related gene prof...
Aged Colorectal Neoplasms Male Middle Aged Immunity, Cellular Humans Prognosis Female Databases, Genetic Predictive Value of Tests Disease-Free Survival Gene Ontology
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