AI Medical Compendium Topic:
Area Under Curve

Clear Filters Showing 471 to 480 of 1154 articles

A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling.

Journal of healthcare engineering Jul 30, 2020
Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with tra...
Heart Ventricles Ventricular Remodeling Ventricular Dysfunction, Left Echocardiography Middle Aged Predictive Value of Tests Humans ROC Curve Machine Learning Imaging, Three-Dimensional Area Under Curve Female Models, Statistical Risk Factors Coronary Angiography Reproducibility of Results Aged Percutaneous Coronary Intervention Adult Myocardial Infarction Sensitivity and Specificity Male
View on PubMed DOI

Signal Peptides Generated by Attention-Based Neural Networks.

ACS synthetic biology Jul 27, 2020
Short (15-30 residue) chains of amino acids at the amino termini of expressed proteins known as signal peptides (SPs) specify secretion in living cells. We trained an attention-based neural network, the Transformer model, on data from all available o...
Bacillus subtilis Databases, Protein Area Under Curve Bacterial Proteins Protein Sorting Signals Machine Learning ROC Curve
View on PubMed DOI

Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database.

PloS one Jul 27, 2020
The Alzheimer's Disease Neuroimaging (ADNI) database is an expansive undertaking by government, academia, and industry to pool resources and data on subjects at various stage of symptomatic severity due to Alzheimer's disease. As expected, magnetic r...
Machine Learning Databases, Factual Biomarkers Brain Disease Progression Neuroimaging ROC Curve Apolipoprotein A-V Humans Magnetic Resonance Imaging Principal Component Analysis Area Under Curve Alzheimer Disease
View on PubMed DOI

Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).

Journal of critical care Jul 24, 2020
PURPOSE: Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mortality and associated morbidity. The objective of this study is to develop and evaluate a novel application of gradient boosted tree models trained on...
ROC Curve Respiratory Distress Syndrome Area Under Curve Supervised Machine Learning Critical Care Early Diagnosis Young Adult Adult Intensive Care Units Male Female Middle Aged Risk Factors Adolescent Humans Aged Databases, Factual Retrospective Studies
View on PubMed DOI

The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.

European journal of radiology Jul 23, 2020
PURPOSE: The purpose of our study is to develop deep convolutional neural network (DCNN) for detecting hip fractures using CT and MRI as a gold standard, and to evaluate the diagnostic performance of 7 readers with and without DCNN.
Humans Neural Networks, Computer Tomography, X-Ray Computed Female Pelvis Hip Fractures Radiographic Image Enhancement Radiography, Abdominal Aged Deep Learning Aged, 80 and over ROC Curve Male Image Processing, Computer-Assisted Middle Aged Magnetic Resonance Imaging Area Under Curve
View on PubMed DOI

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

European radiology Jul 22, 2020
OBJECTIVE: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.
Diagnosis, Computer-Assisted ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted Adult Sensitivity and Specificity Male Middle Aged Area Under Curve Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged
View on PubMed DOI

Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Coronary Vessels Plaque, Atherosclerotic Models, Cardiovascular Support Vector Machine Area Under Curve Coronary Angiography Ultrasonography, Interventional Linear Models Humans Machine Learning Female Middle Aged Risk Factors Ultrasonography Biomechanical Phenomena ROC Curve Male Imaging, Three-Dimensional
View on PubMed DOI

Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.

European radiology Jul 21, 2020
OBJECTIVES: To develop and validate a deep learning model to discriminate transient from persistent subsolid nodules (SSNs) on baseline CT.
Reproducibility of Results Aged Adult Male Middle Aged Humans Retrospective Studies Tomography, X-Ray Computed Female Solitary Pulmonary Nodule Area Under Curve Radiology Radiologists Lung Calibration Deep Learning Image Processing, Computer-Assisted Lung Neoplasms
View on PubMed DOI

A machine learning approach for mortality prediction only using non-invasive parameters.

Medical & biological engineering & computing Jul 20, 2020
At present, the traditional scoring methods generally utilize laboratory measurements to predict mortality. It results in difficulties of early mortality prediction in the rural areas lack of professional laboratorians and medical laboratory equipmen...
Humans Machine Learning Algorithms Female Reproducibility of Results Male Hospital Mortality Area Under Curve Critical Care Mortality
View on PubMed DOI

Early detection of type 2 diabetes mellitus using machine learning-based prediction models.

Scientific reports Jul 20, 2020
Most screening tests for T2DM in use today were developed using multivariate regression methods that are often further simplified to allow transformation into a scoring formula. The increasing volume of electronically collected data opened the opport...
Middle Aged Fasting Blood Glucose Diabetes Mellitus, Type 2 Area Under Curve Humans Machine Learning Female Male Models, Biological Early Diagnosis Calibration
View on PubMed DOI
Popular Topics
Recent Journals