AIMC Topic: ROC Curve

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Prediction of hypertension, hyperglycemia and dyslipidemia from retinal fundus photographs via deep learning: A cross-sectional study of chronic diseases in central China.

PloS one May 14, 2020
Retinal fundus photography provides a non-invasive approach for identifying early microcirculatory alterations of chronic diseases prior to the onset of overt clinical complications. Here, we developed neural network models to predict hypertension, h...
Models, Biological Male Retina Middle Aged Dyslipidemias Deep Learning Hyperglycemia China Aged, 80 and over Humans Chronic Disease ROC Curve Young Adult Female Fundus Oculi Hypertension Adult Risk Factors Cross-Sectional Studies Aged
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Usefulness of deep learning-assisted identification of hyperdense MCA sign in acute ischemic stroke: comparison with readers' performance.

Japanese journal of radiology May 12, 2020
PURPOSE: To evaluate the usefulness of deep learning-assisted diagnosis for identifying hyperdense middle cerebral artery sign (HMCAS) on non-contrast computed tomography in comparison with the diagnostic performance of neuroradiologists.
Deep Learning ROC Curve Ischemic Stroke Brain Ischemia Image Interpretation, Computer-Assisted Aged Aged, 80 and over Male Middle Aged Middle Cerebral Artery Retrospective Studies Tomography, X-Ray Computed Female Humans
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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.

Nature medicine May 11, 2020
The electrocardiogram (ECG) is a widely used medical test, consisting of voltage versus time traces collected from surface recordings over the heart. Here we hypothesized that a deep neural network (DNN) can predict an important future clinical event...
Aged, 80 and over Adult Male Middle Aged ROC Curve Electrocardiography Area Under Curve Risk Assessment Deep Learning Cause of Death Proportional Hazards Models Prognosis Mortality Retrospective Studies Humans Cardiologists Female Neural Networks, Computer Aged Algorithms
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Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis.

Physics in medicine and biology May 11, 2020
Deep convolutional neural network (DCNN), now popularly called artificial intelligence (AI), has shown the potential to improve over previous computer-assisted tools in medical imaging developed in the past decades. A DCNN has millions of free parame...
Breast Neoplasms Deep Learning Humans ROC Curve Image Processing, Computer-Assisted Female Mammography
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iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm.

Genes May 9, 2020
One of the most common and well studied post-transcription modifications in RNAs is N6-methyladenosine (m6A) which has been involved with a wide range of biological processes. Over the past decades, N6-methyladenosine produced some positive consequen...
Computational Biology Datasets as Topic Methylation Saccharomyces cerevisiae Adenosine Algorithms Deep Learning ROC Curve Genome, Fungal RNA Processing, Post-Transcriptional RNA, Fungal
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COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System.

Radiology May 8, 2020
Background Chest radiography may play an important role in triage for coronavirus disease 2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the performance of an artificial intelligence (AI) system for detection of COVID-19 ...
Middle Aged ROC Curve Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections Radiography, Thoracic SARS-CoV-2 Aged Aged, 80 and over Male Humans Artificial Intelligence Databases, Factual Pandemics Betacoronavirus COVID-19 Tomography, X-Ray Computed Pneumonia, Viral Female
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MRI radiomics-based machine-learning classification of bone chondrosarcoma.

European journal of radiology May 7, 2020
PURPOSE: To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI).
Chondrosarcoma Machine Learning Retrospective Studies Female Reproducibility of Results Humans Magnetic Resonance Imaging Adult Neoplasm Grading Bone Neoplasms Male Image Interpretation, Computer-Assisted Middle Aged Bone and Bones ROC Curve
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A Machine Learning Approach to Management of Heart Failure Populations.

JACC. Heart failure May 6, 2020
BACKGROUND: Heart failure is a prevalent, costly disease for which new value-based payment models demand optimized population management strategies.
Disease Management Aged, 80 and over Male Middle Aged Risk Assessment Humans Population Surveillance Machine Learning Morbidity Retrospective Studies ROC Curve Heart Failure Female United States Aged
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Automatic snoring sounds detection from sleep sounds based on deep learning.

Physical and engineering sciences in medicine May 6, 2020
Snoring is a typical characteristic of obstructive sleep apnea hypopnea syndrome (OSAHS) and can be used for its diagnosis. The purpose of this paper is to develop an automatic snoring detection algorithm for classifying snore and non-snore sound seg...
Deep Learning ROC Curve Sleep Automation Snoring Female Adult Male Middle Aged Humans Neural Networks, Computer Algorithms
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Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data.

Sensors (Basel, Switzerland) May 6, 2020
Significant attention has been paid to the accurate detection of diabetes. It is a big challenge for the research community to develop a diagnosis system to detect diabetes in a successful way in the e-healthcare environment. Machine learning techniq...
Diabetes Mellitus Machine Learning Algorithms Telemedicine Delivery of Health Care Humans ROC Curve
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