AIMC Topic: ROC Curve

Clear Filters Showing 1211 to 1220 of 3400 articles

Explainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis.

Cells Aug 5, 2022
Fibronectin (FN) plays an essential role in the host's response to infection. In previous studies, a significant decrease in the FN level was observed in sepsis; however, it has not been clearly elucidated how this parameter affects the patient's sur...
Machine Learning Sepsis Humans Artificial Intelligence ROC Curve Fibronectins
View on PubMed DOI

Development and Validation of a Deep Learning Model for Brain Tumor Diagnosis and Classification Using Magnetic Resonance Imaging.

JAMA network open Aug 1, 2022
IMPORTANCE: Deep learning may be able to use patient magnetic resonance imaging (MRI) data to aid in brain tumor classification and diagnosis.
ROC Curve Magnetic Resonance Imaging Humans Female Brain Adult Brain Neoplasms Deep Learning
View on PubMed DOI

An interpretable neural network for outcome prediction in traumatic brain injury.

BMC medical informatics and decision making Aug 1, 2022
BACKGROUND: Traumatic Brain Injury (TBI) is a common condition with potentially severe long-term complications, the prediction of which remains challenging. Machine learning (ML) methods have been used previously to help physicians predict long-term ...
Humans Neural Networks, Computer ROC Curve Brain Injuries, Traumatic Machine Learning Prognosis
View on PubMed DOI

Machine Learning-Based Prediction Models for Delirium: A Systematic Review and Meta-Analysis.

Journal of the American Medical Directors Association Jul 31, 2022
OBJECTIVE: To critically appraise and quantify the performance studies by employing machine learning (ML) to predict delirium.
Delirium Adult ROC Curve Prospective Studies Humans Reproducibility of Results Machine Learning
View on PubMed DOI

Comparative Study of Raw Ultrasound Data Representations in Deep Learning to Classify Hepatic Steatosis.

Ultrasound in medicine & biology Jul 30, 2022
Adiposity accumulation in the liver is an early-stage indicator of non-alcoholic fatty liver disease. Analysis of ultrasound (US) backscatter echoes from liver parenchyma with deep learning (DL) may offer an affordable alternative for hepatic steatos...
Artificial Intelligence Deep Learning Ultrasonography ROC Curve Humans Liver Non-alcoholic Fatty Liver Disease
View on PubMed DOI

Systematic comparison of machine learning algorithms to develop and validate predictive models for periodontitis.

Journal of clinical periodontology Jul 28, 2022
AIM: The aim of this study was to compare the validity of different machine learning algorithms to develop and validate predictive models for periodontitis.
Predictive Value of Tests Periodontitis Algorithms ROC Curve Humans Machine Learning
View on PubMed DOI

An empirical evaluation of sampling methods for the classification of imbalanced data.

PloS one Jul 28, 2022
In numerous classification problems, class distribution is not balanced. For example, positive examples are rare in the fields of disease diagnosis and credit card fraud detection. General machine learning methods are known to be suboptimal for such ...
Area Under Curve Algorithms Drug-Related Side Effects and Adverse Reactions ROC Curve Humans Machine Learning
View on PubMed DOI

Is attention branch network effective in classifying dental implants from panoramic radiograph images by deep learning?

PloS one Jul 27, 2022
Attention mechanism, which is a means of determining which part of the forced data is emphasized, has attracted attention in various fields of deep learning in recent years. The purpose of this study was to evaluate the performance of the attention b...
Radiography, Panoramic Deep Learning Dental Implants Humans ROC Curve Neural Networks, Computer
View on PubMed DOI

A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.

BMC medical informatics and decision making Jul 25, 2022
BACKGROUND: Various machine learning and artificial intelligence methods have been used to predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet been used for COVID-19 prediction. We developed a process mining/deep l...
ROC Curve Machine Learning Humans COVID-19 Retrospective Studies Artificial Intelligence Deep Learning
View on PubMed DOI

Matrix factorization with denoising autoencoders for prediction of drug-target interactions.

Molecular diversity Jul 23, 2022
Drug-target interaction is crucial in the discovery of new drugs. Computational methods can be used to identify new drug-target interactions at low costs and with reasonable accuracy. Recent studies pay more attention to machine-learning methods, ran...
ROC Curve Drug Interactions Algorithms Research Design Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals