AIMC Topic: ROC Curve

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ASSESSMENT OF CENTRAL SEROUS CHORIORETINOPATHY DEPICTED ON COLOR FUNDUS PHOTOGRAPHS USING DEEP LEARNING.

Retina (Philadelphia, Pa.) Aug 1, 2020
PURPOSE: To investigate whether and to what extent central serous chorioretinopathy (CSC) depicted on color fundus photographs can be assessed using deep learning technology.
Female Adult Male Middle Aged Humans Tomography, Optical Coherence Fundus Oculi Diagnosis, Computer-Assisted Photography Deep Learning Ophthalmologists ROC Curve Central Serous Chorioretinopathy Area Under Curve
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Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Given the extensive use of machine learning in patient outcome prediction, and the understanding that the challenging nature of predictions in this field may considerably modify the performance of predictive models, research in this area requires som...
Humans Machine Learning Algorithms Prognosis ROC Curve Logistic Models
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Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Machine learning models trained on electronic health records have achieved high prognostic accuracy in test datasets, but little is known about their embedding into clinical workflows. We implemented a random forest-based algorithm to iden...
Humans Machine Learning Hospitalization Algorithms Middle Aged Workflow Aged Prospective Studies Risk Assessment Aged, 80 and over Delirium ROC Curve Electronic Health Records Male Models, Theoretical Female
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Using Machine Learning to Predict Primary Care and Advance Workforce Research.

Annals of family medicine Jul 1, 2020
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data.
Insurance Claim Review Area Under Curve Humans Medicare Workforce Machine Learning Physicians, Primary Care Algorithms Cross-Sectional Studies ROC Curve Primary Health Care United States
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[Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].

Zhonghua wai ke za zhi [Chinese journal of surgery] Jul 1, 2020
To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-CNN for pancreatic cancer and its clinical value. In this study, 4 024 enhanced CT imaging sequences of 315 patients with pancreatic cancer from Janua...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity ROC Curve Pancreatic Neoplasms
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Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.

Korean journal of radiology Jul 1, 2020
OBJECTIVE: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images.
Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Neural Networks, Computer Rib Fractures ROC Curve Image Processing, Computer-Assisted Area Under Curve Feasibility Studies Young Adult Adult Male Middle Aged Thorax
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A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty.

The Journal of the American Academy of Orthopaedic Surgeons Jul 1, 2020
INTRODUCTION: Patient selection for outpatient total shoulder arthroplasty (TSA) is important to optimizing patient outcomes. This study aims to develop a machine learning tool that may aid in patient selection for outpatient total should arthroplast...
Sex Factors Outpatients Male Arthroplasty, Replacement, Shoulder Comorbidity Length of Stay ROC Curve Logistic Models Treatment Outcome Decision Support Techniques Age Factors Patient Selection Female Humans Aged Machine Learning Pulmonary Disease, Chronic Obstructive Forecasting
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Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.

Nature medicine Jun 1, 2020
Diagnostic Techniques and Procedures Humans Predictive Value of Tests Artificial Intelligence Area Under Curve Sensitivity and Specificity Research Report ROC Curve Guidelines as Topic
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Diagnostic classification of solitary pulmonary nodules using support vector machine model based on 2-[18F]fluoro-2-deoxy-D-glucose PET/computed tomography texture features.

Nuclear medicine communications Jun 1, 2020
PURPOSE: This study aimed to evaluate the diagnostic value of a support vector machine (SVM) model built with texture features based on standard 2-[F]fluoro-2-deoxy-D-glucose (F-FDG) PET in patients with solitary pulmonary nodules (SPNs) at a volume ...
Humans Fluorodeoxyglucose F18 Retrospective Studies Male Female Support Vector Machine Middle Aged Solitary Pulmonary Nodule ROC Curve Positron Emission Tomography Computed Tomography Image Processing, Computer-Assisted Tumor Burden
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Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy.

Cornea Jun 1, 2020
PURPOSE: To evaluate the ability of deep learning (DL) models to detect obstructive meibomian gland dysfunction (MGD) using in vivo laser confocal microscopy images.
Follow-Up Studies Constriction, Pathologic Meibomian Glands Meibomian Gland Dysfunction Adolescent Humans Child Neural Networks, Computer ROC Curve Retrospective Studies Microscopy, Confocal Adult Female Male Middle Aged Aged Deep Learning Aged, 80 and over Young Adult
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