AIMC Topic:
ROC Curve

Clear Filters Showing 1831 to 1840 of 3214 articles

Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests.

PloS one Jan 10, 2020
PURPOSE: The objective of this study was to assess the classification capability of Breast Imaging Reporting and Data System (BI-RADS) ultrasound feature descriptors targeting established commercial transcriptomic gene signatures that guide managemen...
Middle Aged Gene Expression Profiling Cohort Studies ROC Curve Natural Language Processing Area Under Curve Ultrasonography, Mammary Research Design Retrospective Studies Female Breast Neoplasms Humans
View on PubMed DOI

A two-step automated quality assessment for liver MR images based on convolutional neural network.

European journal of radiology Jan 9, 2020
PURPOSE: To propose an automatic approach based on a convolutional neural network (CNN) to evaluate the quality of T2-weighted liver magnetic resonance (MR) images as nondiagnostic (ND) or diagnostic (D).
Magnetic Resonance Imaging Humans Reproducibility of Results Liver Neural Networks, Computer Image Interpretation, Computer-Assisted Sensitivity and Specificity Retrospective Studies Liver Diseases ROC Curve
View on PubMed DOI

Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images.

Communications biology Jan 8, 2020
Retinal detachment can lead to severe visual loss if not treated timely. The early diagnosis of retinal detachment can improve the rate of successful reattachment and the visual results, especially before macular involvement. Manual retinal detachmen...
Young Adult Adult Female Sensitivity and Specificity Macula Lutea Reproducibility of Results Middle Aged Male Retinal Detachment Aged Deep Learning Humans Aged, 80 and over Adolescent ROC Curve Child Diagnostic Imaging Workflow
View on PubMed DOI

Training and Validation of Deep Neural Networks for the Prediction of 90-Day Post-Liver Transplant Mortality Using UNOS Registry Data.

Transplantation proceedings Jan 8, 2020
Prediction models of post-liver transplant mortality are crucial so that donor organs are not allocated to recipients with unreasonably high probabilities of mortality. Machine learning algorithms, particularly deep neural networks (DNNs), can often ...
Male Deep Learning ROC Curve Living Donors Registries Humans Liver Transplantation Computer Simulation Female Adult
View on PubMed DOI

Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data.

Communications biology Jan 7, 2020
Single-molecule research techniques such as patch-clamp electrophysiology deliver unique biological insight by capturing the movement of individual proteins in real time, unobscured by whole-cell ensemble averaging. The critical first step in analysi...
Ion Channel Gating Patch-Clamp Techniques Artificial Intelligence Humans Supervised Machine Learning ROC Curve Neural Networks, Computer Single Molecule Imaging Workflow Ion Channels Models, Biological Electrophysiological Phenomena
View on PubMed DOI

A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms.

BMC medical informatics and decision making Jan 6, 2020
BACKGROUND: In classification and diagnostic testing, the receiver-operator characteristic (ROC) plot and the area under the ROC curve (AUC) describe how an adjustable threshold causes changes in two types of error: false positives and false negative...
Diagnostic Tests, Routine Machine Learning ROC Curve Area Under Curve Humans
View on PubMed DOI

Predictive validity of radiographic signs of complete discoid lateral meniscus in children using machine learning techniques.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Jan 3, 2020
The diagnostic utility of radiographic signs of complete discoid lateral meniscus remains controversial. This study aimed to investigate the diagnostic accuracy and determine which sign is most reliably detects the presence of a complete discoid late...
Humans Machine Learning Retrospective Studies ROC Curve Logistic Models Menisci, Tibial Tibial Meniscus Injuries Female Male Adolescent Child
View on PubMed DOI

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound.

European radiology Jan 3, 2020
OBJECTIVES: We aimed to establish and validate an artificial intelligence-based radiomics strategy for predicting personalized responses of hepatocellular carcinoma (HCC) to first transarterial chemoembolization (TACE) session by quantitatively analy...
Chemoembolization, Therapeutic ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Humans Artificial Intelligence Aged Retrospective Studies Aged, 80 and over Female Young Adult Adult Male Middle Aged Adolescent Ultrasonography
View on PubMed DOI

A practical model for the identification of congenital cataracts using machine learning.

EBioMedicine Jan 3, 2020
BACKGROUND: Approximately 1 in 33 newborns is affected by congenital anomalies worldwide. We aimed to develop a practical model for identifying infants with a high risk of congenital cataracts (CCs), which is the leading cause of avoidable childhood ...
Humans Machine Learning Algorithms Case-Control Studies Child, Preschool ROC Curve Area Under Curve Female Reproducibility of Results Risk Factors Male Cataract Models, Biological Inheritance Patterns
View on PubMed DOI

Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data.

Scientific reports Dec 30, 2019
In many research areas scientists are interested in clustering objects within small datasets while making use of prior knowledge from large reference datasets. We propose a method to apply the machine learning concept of transfer learning to unsuperv...
Single-Cell Analysis Reproducibility of Results High-Throughput Nucleotide Sequencing Humans Computational Biology Gene Expression Profiling Sequence Analysis, RNA Machine Learning Transcriptome Cluster Analysis Algorithms ROC Curve
View on PubMed DOI
Popular Topics
Recent Journals