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Showing 988-1008 of 3,323 articles

Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.

BACKGROUND: Current lung cancer screening guidelines use mean diameter, volume or density of the lar...

Oct 2019 PMID: 32864596

Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients.

OBJECTIVE: To comparatively evaluate a range of Natural Language Processing (NLP) approaches for Inf...

Oct 2019 PMID: 31618679

Two stage residual CNN for texture denoising and structure enhancement on low dose CT image.

BACKGROUND AND OBJECTIVE: X-ray computed tomography (CT) plays an important role in modern medical s...

Oct 2019 PMID: 31627148

Can the development of atrial fibrillation in patients with ischemic heart failure with low ejection fraction be predicted?

OBJECTIVE: Our aim is to determine the triggering factors of paroxysmal atrial fibrillation (PAF) in...

Oct 2019 PMID: 32232199

Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm.

PURPOSE: Patients with 1p/19q codeleted low-grade glioma (LGG) have longer overall survival and bett...

Sep 2019 PMID: 31548344

Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.

Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner f...

Sep 2019 PMID: 31545737

Cell Type Classification and Unsupervised Morphological Phenotyping From Low-Resolution Images Using Deep Learning.

Convolutional neural networks (ConvNets) have proven to be successful in both the classification and...

Sep 2019 PMID: 31530889

Streaming chunk incremental learning for class-wise data stream classification with fast learning speed and low structural complexity.

Due to the fast speed of data generation and collection from advanced equipment, the amount of data ...

Sep 2019 PMID: 31498787

Bursts with High and Low Load of Epileptiform Spikes Show Context-Dependent Correlations in Epileptic Mice.

Hypersynchronous network activity is the defining hallmark of epilepsy and manifests in a wide spect...

Sep 2019 PMID: 31420348

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting ...

Sep 2019 PMID: 31509205

Predicting Hospital Readmission: A Joint Ensemble-Learning Model.

Hospital readmission is among the most critical issues in the healthcare system due to its high prev...

Sep 2019 PMID: 31484143

Estimation of Vertical Ground Reaction Force Using Low-Cost Insole With Force Plate-Free Learning From Single Leg Stance and Walking.

For the evaluation of pathological gait, a machine learning-based estimation of the vertical ground ...

Aug 2019 PMID: 31449034

Gradient regularized convolutional neural networks for low-dose CT image enhancement.

The potential risks of x-ray to patients have transferred the public's attention from normal dose CT...

Aug 2019 PMID: 31433791

A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images.

PURPOSE: Convolutional neural network (CNN)-based image denoising techniques have shown promising re...

Aug 2019 PMID: 31306488

Development of interval-valued fuzzy GRA with SERVPERF based on subjective and objective weights for evaluation of airline service quality: A case study of Korea low-cost carriers.

As the airline industry has become ever-more competitive and profitability more tenuous, airline ser...

Aug 2019 PMID: 31386667

Public Health & Policy

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Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.

Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients.

Two stage residual CNN for texture denoising and structure enhancement on low dose CT image.

Can the development of atrial fibrillation in patients with ischemic heart failure with low ejection fraction be predicted?

Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm.

Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.

Cell Type Classification and Unsupervised Morphological Phenotyping From Low-Resolution Images Using Deep Learning.

Streaming chunk incremental learning for class-wise data stream classification with fast learning speed and low structural complexity.

Bursts with High and Low Load of Epileptiform Spikes Show Context-Dependent Correlations in Epileptic Mice.

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

Predicting Hospital Readmission: A Joint Ensemble-Learning Model.

Estimation of Vertical Ground Reaction Force Using Low-Cost Insole With Force Plate-Free Learning From Single Leg Stance and Walking.

Gradient regularized convolutional neural networks for low-dose CT image enhancement.

A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images.

Development of interval-valued fuzzy GRA with SERVPERF based on subjective and objective weights for evaluation of airline service quality: A case study of Korea low-cost carriers.

Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality.

Sequence assignment for low-resolution modelling of protein crystal structures.

Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea.

Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans.

A convolutional neural network for ultra-low-dose CT denoising and emphysema screening.

Is Cardiac Troponin I Valuable to Detect Low-Level Myocardial Damage in Congestive Heart Failure?

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