AIMC Topic:
ROC Curve

Clear Filters Showing 2131 to 2140 of 3214 articles

Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling.

Addiction biology Jan 9, 2019
Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral blood flow (CBF) abnormalities in a number of brain disorders. To evaluate its significance in detecting methamphetamine (MA) dependence, this study ...
Male Case-Control Studies ROC Curve Imaging, Three-Dimensional Support Vector Machine Magnetic Resonance Imaging Area Under Curve Methamphetamine Amphetamine-Related Disorders Humans Brain Young Adult Adult Cerebrovascular Circulation Perfusion Imaging Spin Labels
View on PubMed DOI

A clinical, proteomics, and artificial intelligence-driven model to predict acute kidney injury in patients undergoing coronary angiography.

Clinical cardiology Jan 8, 2019
BACKGROUND: Standard measures of kidney function are only modestly useful for accurate prediction of risk for acute kidney injury (AKI).
Biomarkers Acute Kidney Injury Female Aged Contrast Media Male Predictive Value of Tests Humans Coronary Angiography Risk Assessment Artificial Intelligence Coronary Artery Disease Incidence Prospective Studies Creatinine ROC Curve Proteomics
View on PubMed DOI

Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.

World journal of surgical oncology Jan 8, 2019
BACKGROUND: In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules were collected and labeled, and an automatic image recognition and diagnosis system was established by deep learning using the YOLOv2 neural network. ...
Predictive Value of Tests Young Adult Image Interpretation, Computer-Assisted Adult Male Middle Aged Neural Networks, Computer Humans Prognosis Thyroid Gland Retrospective Studies Ultrasonography Female Thyroid Nodule Aged ROC Curve Diagnosis, Differential
View on PubMed DOI

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Nature medicine Jan 7, 2019
Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workflow. Widely available digital ECG data and the algorithmic paradigm of deep learning present an opportunity to substantially improve the accuracy and s...
Monitoring, Ambulatory Cardiologists Algorithms ROC Curve Humans Electrocardiography Arrhythmias, Cardiac Neural Networks, Computer
View on PubMed DOI

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.

Nature medicine Jan 7, 2019
Asymptomatic left ventricular dysfunction (ALVD) is present in 3-6% of the general population, is associated with reduced quality of life and longevity, and is treatable when found. An inexpensive, noninvasive screening tool for ALVD in the doctor's ...
ROC Curve Electrocardiography Mass Screening Heart Myocardial Contraction Sensitivity and Specificity Male Stroke Volume Middle Aged Humans Neural Networks, Computer Artificial Intelligence Female Aged Aged, 80 and over Adult
View on PubMed DOI

Fully automated detection of retinal disorders by image-based deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 4, 2019
PURPOSE: With the aging population and the global diabetes epidemic, the prevalence of age-related macular degeneration (AMD) and diabetic macular edema (DME) diseases which are the leading causes of blindness is further increasing. Intravitreal inje...
Female Reproducibility of Results Male Middle Aged Deep Learning Humans Neural Networks, Computer Algorithms Retrospective Studies Retina Retinal Diseases ROC Curve Image Processing, Computer-Assisted Follow-Up Studies Tomography, Optical Coherence
View on PubMed DOI

Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.

Biomedical engineering online Jan 3, 2019
BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases. Abnormal lungs mainly include lung parenchyma with commonalities on CT ima...
Algorithms Tomography, X-Ray Computed False Positive Reactions Humans Reproducibility of Results Neural Networks, Computer ROC Curve Lung Machine Learning Image Processing, Computer-Assisted Cluster Analysis Radiographic Image Interpretation, Computer-Assisted Data Collection
View on PubMed DOI

Using deep learning to identify translational research in genomic medicine beyond bench to bedside.

Database : the journal of biological databases and curation Jan 1, 2019
Tracking scientific research publications on the evaluation, utility and implementation of genomic applications is critical for the translation of basic research to impact clinical and population health. In this work, we utilize state-of-the-art mach...
Statistics as Topic Genomics Support Vector Machine Translational Research, Biomedical Neural Networks, Computer Task Performance and Analysis Reproducibility of Results Deep Learning ROC Curve
View on PubMed DOI

Prediction of fatty liver disease using machine learning algorithms.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for preven...
Adult Humans Fatty Liver Forecasting Male Neural Networks, Computer Electronic Health Records Taiwan Machine Learning Middle Aged Female Early Diagnosis Algorithms ROC Curve Aged
View on PubMed DOI

Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network.

EBioMedicine Dec 29, 2018
BACKGROUND: Recently, innovative attempts have been made to identify moyamoya disease (MMD) by focusing on the morphological differences in the head of MMD patients. Following the recent revolution in the development of deep learning (DL) algorithms,...
Young Adult Adult Male Middle Aged ROC Curve Machine Learning Algorithms Female Reproducibility of Results Moyamoya Disease Image Processing, Computer-Assisted Humans Data Interpretation, Statistical Neural Networks, Computer Radiography Skull
View on PubMed DOI
Popular Topics
Recent Journals