AIMC Topic: ROC Curve

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Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography.

Investigative radiology Jan 1, 2019
OBJECTIVES: The aim of this study was to compare the diagnostic performance of a deep learning algorithm with that of radiologists in diagnosing maxillary sinusitis on Waters' view radiographs.
Humans Tomography, X-Ray Computed Female ROC Curve Area Under Curve Radiography Maxillary Sinus Maxillary Sinusitis Sensitivity and Specificity Male Middle Aged Deep Learning
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[An artificial neural network model for glioma grading using image information].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Dec 28, 2018
To explore the feasibility and efficacy of artificial neural network for differentiating high-grade glioma and low-grade glioma using image information.
 Methods: A total of 130 glioma patients with confirmed pathological diagnosis were selected retr...
Brain Neoplasms Humans ROC Curve Neural Networks, Computer Glioma Retrospective Studies Magnetic Resonance Imaging Sensitivity and Specificity Neoplasm Grading
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Prognostic Value of NT-proBNP in Stable Coronary Artery Disease in Chinese Patients after Percutaneous Coronary Intervention in the Drug-eluting Stent Era.

Biomedical and environmental sciences : BES Dec 1, 2018
OBJECTIVE: The predictive value of N-terminal pro-brain natriuretic peptide (NT-proBNP) in patients with stable coronary artery disease (SCAD) in the drug-eluting stent era is not yet clear. We aimed to evaluate the prognostic value of NT-proBNP in S...
Kaplan-Meier Estimate Drug-Eluting Stents Percutaneous Coronary Intervention Coronary Artery Disease Asian People Natriuretic Peptide, Brain Humans Prognosis Male Female Middle Aged Aged China ROC Curve Peptide Fragments
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Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Nov 1, 2018
BACKGROUND: Hospital-acquired pressure injuries are a serious problem among critical care patients. Some can be prevented by using measures such as specialty beds, which are not feasible for every patient because of costs. However, decisions about wh...
Humans Aged Adult Male Middle Aged Risk Assessment Machine Learning Electronic Health Records Female Risk Factors Pressure Ulcer Severity of Illness Index Beds ROC Curve Iatrogenic Disease Predictive Value of Tests Critical Care
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Machine learning without borders? An adaptable tool to optimize mortality prediction in diverse clinical settings.

The journal of trauma and acute care surgery Nov 1, 2018
BACKGROUND: Mortality prediction aids clinical decision making and is necessary for quality improvement initiatives. Validated metrics rely on prespecified variables and often require advanced diagnostics, which are unfeasible in resource-constrained...
Wounds and Injuries Developed Countries Area Under Curve South Africa Developing Countries Partial Thromboplastin Time Forecasting Female Adult Male Humans Machine Learning Middle Aged Cameroon ROC Curve United States Health Services Accessibility
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3D deep learning for detecting pulmonary nodules in CT scans.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To demonstrate and test the validity of a novel deep-learning-based system for the automated detection of pulmonary nodules.
Sensitivity and Specificity Lung Diagnosis, Computer-Assisted Deep Learning Humans ROC Curve Tomography, X-Ray Computed Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
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Unique Clinical Language Patterns Among Expert Vestibular Providers Can Predict Vestibular Diagnoses.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Oct 1, 2018
OBJECTIVE: To identify novel language usage by expert providers predictive of specific vestibular conditions.
Sensitivity and Specificity Bayes Theorem Algorithms Male Practice Patterns, Physicians' Middle Aged Medical History Taking Humans Retrospective Studies ROC Curve Otolaryngologists Vestibular Diseases Female Adult Natural Language Processing
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Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality.

Anesthesiology Oct 1, 2018
WHAT WE ALREADY KNOW ABOUT THIS TOPIC: WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: The authors tested the hypothesis that deep neural networks trained on intraoperative features can predict postoperative in-hospital mortality.
Postoperative Complications Hospital Mortality ROC Curve Predictive Value of Tests Aged Adult Male Middle Aged Humans Neural Networks, Computer Machine Learning Female
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Statistical Learning Methods to Determine Immune Correlates of Herpes Zoster in Vaccine Efficacy Trials.

The Journal of infectious diseases Sep 22, 2018
Using Super Learner, a machine learning statistical method, we assessed varicella zoster virus-specific glycoprotein-based enzyme-linked immunosorbent assay (gpELISA) antibody titer as an individual-level signature of herpes zoster (HZ) risk in the Z...
Humans Machine Learning Female Herpes Zoster Antibodies, Viral Male Herpes Zoster Vaccine Middle Aged Models, Statistical Randomized Controlled Trials as Topic Case-Control Studies Area Under Curve ROC Curve Data Interpretation, Statistical
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Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

Anticancer research Sep 1, 2018
BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiation therapy prognosis. This study assessed whether a convolutional neural network (CNN)-based radiomics model which learned computer tomography (CT) i...
Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Brain Neoplasms Male Middle Aged Adolescent Machine Learning Decision Support Techniques Tomography, X-Ray Computed Humans Area Under Curve Clinical Decision-Making Neural Networks, Computer Female Radiographic Image Interpretation, Computer-Assisted Radiosurgery Time Factors ROC Curve Treatment Outcome Predictive Value of Tests
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