AIMC Topic: Young Adult

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Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.

Scandinavian journal of trauma, resuscitation and emergency medicine Sep 11, 2020
BACKGROUND: A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach has never been integrated with the hospital information system (HIS) for predicting major adverse cardiac events (MACE) in patients with chest pain in ...
Taiwan Emergency Service, Hospital Myocardial Infarction Chest Pain Mortality Sensitivity and Specificity Male Middle Aged Risk Assessment Models, Statistical Artificial Intelligence Algorithms Female Aged Young Adult Adult Humans
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Person identification from EEG using various machine learning techniques with inter-hemispheric amplitude ratio.

PloS one Sep 11, 2020
Association between electroencephalography (EEG) and individually personal information is being explored by the scientific community. Though person identification using EEG is an attraction among researchers, the complexity of sensing limits using su...
Discriminant Analysis Young Adult Humans Electroencephalography Adult Machine Learning Electrodes Male Biometric Identification Algorithms Middle Aged Photic Stimulation Brain Image Processing, Computer-Assisted Evoked Potentials Female Support Vector Machine
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A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate.

Thyroid : official journal of the American Thyroid Association Sep 9, 2020
The risk stratification system of the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) for thyroid nodules is affected by low diagnostic specificity. Machine learning (ML) methods can optimize the diagnostic perf...
Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Humans Machine Learning Retrospective Studies Clinical Decision-Making Female Predictive Value of Tests Tumor Burden Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Unnecessary Procedures Elasticity Imaging Techniques Middle Aged China Adolescent Thyroid Neoplasms Ultrasonography Thyroid Nodule
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Artificial Intelligence Predictive Analytics in the Management of Outpatient MRI Appointment No-Shows.

AJR. American journal of roentgenology Sep 9, 2020
Outpatient appointment no-shows are a common problem. Artificial intelligence predictive analytics can potentially facilitate targeted interventions to improve efficiency. We describe a quality improvement project that uses machine learning techniqu...
Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Adolescent Child Magnetic Resonance Imaging Ambulatory Care No-Show Patients Humans Machine Learning Forecasting Prospective Studies
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Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.

American journal of human genetics Sep 9, 2020
Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functional impact, and genomic and environmental contexts, HNF1A variants can cause maturity-onset diabetes of the young (MODY), increase type 2 diabetes ris...
Exome Sequencing Young Adult Mutation, Missense Adult Male Humans Registries Adolescent Phenotype Child Genetic Predisposition to Disease Diabetes Mellitus, Type 2 Alleles Cluster Analysis Female Datasets as Topic Hepatocyte Nuclear Factor 1-alpha United Kingdom Unsupervised Machine Learning Norway Principal Component Analysis Gene Expression
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Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?

Heart rhythm Sep 8, 2020
BACKGROUND: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arrhythmogenic cardiomyopathy, and typical electrocardiographic (ECG) features have been identified for diagnosis. Machine learning is a powerful tool us...
Machine Learning Algorithms Computers Phenotype Retrospective Studies Female Reproducibility of Results Young Adult Adult Male Middle Aged Clinical Competence Humans Adolescent Calcium-Binding Proteins Electrocardiography Arrhythmogenic Right Ventricular Dysplasia DNA Cardiologists Mutation DNA Mutational Analysis
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MRI-visible dilated perivascular spaces in healthy young adults: A twin heritability study.

Human brain mapping Sep 8, 2020
We investigated the narrow-sense heritability of MRI-visible dilated perivascular spaces (dPVS) in healthy young adult twins and nontwin siblings (138 monozygotic, 79 dizygotic twin pairs, and 133 nontwin sibling pairs; 28.7 ± 3.6 years) from the Hum...
Male Deep Learning Age Factors Magnetic Resonance Imaging Neuroimaging White Matter Humans Retrospective Studies Female Young Adult Adult Siblings Basal Ganglia Inheritance Patterns Twins Glymphatic System
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Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.

European journal of radiology Sep 8, 2020
PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics analysis for discriminating between uveal melanoma (UM) and other intraocular masses.
Adolescent Child ROC Curve Logistic Models Support Vector Machine Contrast Media Humans Aged Magnetic Resonance Imaging Eye Neoplasms Young Adult Diagnosis, Differential Retrospective Studies Adult Image Enhancement Female Male Uveal Neoplasms Melanoma Middle Aged Uveal Melanoma Reproducibility of Results
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Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites.

BMC medical informatics and decision making Sep 7, 2020
BACKGROUND: Automated systems that use machine learning to estimate a patient's risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpopulations especially for imple...
Electronic Health Records Female Hospitalization Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans Adolescent Machine Learning Patient Admission Prospective Studies Mortality Prognosis
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fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.

NeuroImage Sep 5, 2020
Deep-learning methods based on deep neural networks (DNNs) have recently been successfully utilized in the analysis of neuroimaging data. A convolutional neural network (CNN) is a type of DNN that employs a convolution kernel that covers a local area...
Neural Networks, Computer Brain Young Adult Adult Male Support Vector Machine Humans Magnetic Resonance Imaging Visual Perception Brain Mapping Auditory Perception Attention Psychomotor Performance Motor Activity
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