AIMC Topic: ROC Curve

Clear Filters Showing 3091 to 3100 of 3271 articles

Prediction of fatal adverse prognosis in patients with fever-related diseases based on machine learning: A retrospective study.

Chinese medical journal Mar 5, 2020
BACKGROUND: Fever is the most common chief complaint of emergency patients. Early identification of patients at an increasing risk of death may avert adverse outcomes. The aim of this study was to establish an early prediction model of fatal adverse ...
Fever Heart Rate Odds Ratio Retrospective Studies ROC Curve Logistic Models Blood Pressure Humans Machine Learning Prognosis
View on PubMed DOI

Computer-assisted Diagnosis of Breast Cancer by Cell Network Matrix Extraction and Multilayer Perceptron Analysis.

Annals of clinical and laboratory science Mar 1, 2020
OBJECTIVE: Diagnosis of breast cancer is based on identification of various morphologic features by histopathologic examination of the specimen. Ancillary immunohistochemical and molecular analyses provide additional information that is prognostic an...
Humans Neural Networks, Computer Computer Simulation Prognosis Female Breast Neoplasms Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Carcinoma, Ductal, Breast Sclerosis Adenofibroma
View on PubMed

Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis.

JCO clinical cancer informatics Mar 1, 2020
PURPOSE: Deep learning (DL), a class of approaches involving self-learned discriminative features, is increasingly being applied to digital pathology (DP) images for tasks such as disease identification and segmentation of tissue primitives (eg, nucl...
Signal Processing, Computer-Assisted Benchmarking Quality Control Image Interpretation, Computer-Assisted Humans Observer Variation Algorithms Data Compression Neoplasms Pathology, Clinical Deep Learning Telepathology ROC Curve
View on PubMed DOI

Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.

Korean journal of radiology Mar 1, 2020
OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a deep learning-based denoising algorithm (DLA) with LD CT images reconstructed with a filtered back projection (FBP) and advanced modeled iterative reco...
Abdomen Body Mass Index Area Under Curve Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Adult Male Middle Aged Deep Learning ROC Curve Tomography, X-Ray Computed Female Aged Young Adult Humans
View on PubMed DOI

A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population.
Humans Machine Learning Male Middle Aged Prevalence ROC Curve Nutrition Surveys Algorithms Female Risk Factors Adult Models, Theoretical Socioeconomic Factors Area Under Curve Prediabetic State
View on PubMed DOI

A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

Eye & contact lens Mar 1, 2020
PURPOSE: To evaluate the efficacy of deep learning in judging the need for rebubbling after Descemet's endothelial membrane keratoplasty (DMEK).
Corneal Endothelial Cell Loss Fuchs' Endothelial Dystrophy Deep Learning ROC Curve Humans Models, Theoretical Area Under Curve Retrospective Studies Visual Acuity Tomography, Optical Coherence Female Reoperation Aged Descemet Membrane Male Descemet Stripping Endothelial Keratoplasty
View on PubMed DOI

Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records.

JCO clinical cancer informatics Feb 1, 2020
PURPOSE: Acute graft-versus-host disease (aGVHD) remains a significant complication of allogeneic hematopoietic cell transplantation (HCT) and limits its broader application. The ability to predict grade II to IV aGVHD could potentially mitigate morb...
Graft vs Host Disease Hematopoietic Stem Cell Transplantation Transplantation, Homologous Young Adult Vital Signs Male Adult Retrospective Studies Child Humans Middle Aged Survival Rate Electronic Health Records ROC Curve Machine Learning Infant Hematologic Neoplasms Female Biomarkers Adolescent Longitudinal Studies Prognosis Aged Child, Preschool Follow-Up Studies
View on PubMed DOI

Validation of Deep Convolutional Neural Network-based algorithm for detection of diabetic retinopathy - Artificial intelligence versus clinician for screening.

Indian journal of ophthalmology Feb 1, 2020
PURPOSE: Deep learning is a newer and advanced subfield in artificial intelligence (AI). The aim of our study is to validate a machine-based algorithm developed based on deep convolutional neural networks as a tool for screening to detect referable d...
Humans Mass Screening Algorithms Retrospective Studies Female Diabetic Retinopathy Male Neural Networks, Computer ROC Curve Artificial Intelligence Machine Learning
View on PubMed DOI

Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.

Investigative radiology Feb 1, 2020
OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-learning algorithm that utilizes both anteroposterior (AP) and lateral elbow radiographs for the automated detection of pediatric supracondylar fractur...
Algorithms Retrospective Studies Reproducibility of Results Sensitivity and Specificity Deep Learning Radiography Elbow Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Feasibility Studies Child Elbow Injuries ROC Curve Fractures, Bone Area Under Curve
View on PubMed DOI

Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier.

Journal of digital imaging Feb 1, 2020
To assess whether application of a support vector machine learning algorithm to ancillary data obtained from posterior-anterior dual-energy X-ray absorptiometry (DEXA) studies could identify patients with lumbar spine (L1-L4) vertebral body fractures...
Spinal Fractures Aged Male ROC Curve Support Vector Machine Absorptiometry, Photon Humans Computers Female
View on PubMed DOI
Popular Topics
Recent Journals