AIMC Topic: Area Under Curve

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Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction Models.

The journal of applied laboratory medicine Mar 3, 2025
BACKGROUND: Interest in prediction models, including machine learning (ML) models, based on laboratory data has increased tremendously. Uncertainty in laboratory measurements and predictions based on such data are inherently intertwined. This study d...
Humans Machine Learning Female Sensitivity and Specificity Models, Statistical Area Under Curve Emergency Service, Hospital Male Uncertainty ROC Curve Renal Insufficiency, Chronic Kidney Function Tests
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Exploring Ovarian Cancer Prediction Models and Potential Markers Using Machine Learning.

Annals of clinical and laboratory science Mar 1, 2025
OBJECTIVE: To develop machine learning models, facilitate a more accurate diagnosis of ovarian cancer (OC), and explore potential markers.
Ovarian Neoplasms Area Under Curve Machine Learning CA-125 Antigen Female Biomarkers, Tumor Aged Adult Middle Aged Humans ROC Curve Support Vector Machine Neural Networks, Computer
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A novel machine learning-based cancer-specific cardiovascular disease risk score among patients with breast, colorectal, or lung cancer.

JNCI cancer spectrum Jan 3, 2025
BACKGROUND: Cancer patients have up to a 3-fold higher risk for cardiovascular disease (CVD) than the general population. Traditional CVD risk scores may be less accurate for them. We aimed to develop cancer-specific CVD risk scores and compare them ...
Humans Machine Learning Colorectal Neoplasms Breast Neoplasms Male Cardiovascular Diseases Algorithms Female Aged Adult Logistic Models Middle Aged Area Under Curve Risk Assessment Lung Neoplasms
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Reported liver toxicity of food chemicals in rats extrapolated to humans using virtual human-to-rat hepatic concentration ratios generated by pharmacokinetic modeling with machine learning-derived parameters.

The Journal of toxicological sciences Jan 1, 2025
Pharmacokinetic data are not generally available for evaluating the toxicological potential of food chemicals. A simplified physiologically based pharmacokinetic (PBPK) model has been established to evaluate internal exposures to chemicals in rats or...
Models, Biological Species Specificity Rats Liver Area Under Curve Humans Machine Learning Computer Simulation Animals Male
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A Deep Learning Network for Accurate Retinal Multidisease Diagnosis Using Multiview Fusion of En Face and B-Scan Images: A Multicenter Study.

Translational vision science & technology Dec 2, 2024
PURPOSE: Accurate diagnosis of retinal disease based on optical coherence tomography (OCT) requires scrutiny of both B-scan and en face images. The aim of this study was to investigate the effectiveness of fusing en face and B-scan images for better ...
Female Retina Sensitivity and Specificity Male Retinal Diseases Middle Aged Deep Learning Humans Imaging, Three-Dimensional Area Under Curve Tomography, Optical Coherence
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Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis.

The Journal of international medical research Dec 1, 2024
OBJECTIVE: This systematic review aimed to provide a comprehensive overview of the application of machine learning (ML) in predicting multiple adverse drug events (ADEs) using electronic health record (EHR) data.
Support Vector Machine Area Under Curve Drug-Related Side Effects and Adverse Reactions Machine Learning Electronic Health Records Risk Factors ROC Curve Humans
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DGCL: dual-graph neural networks contrastive learning for molecular property prediction.

Briefings in bioinformatics Sep 23, 2024
In this paper, we propose DGCL, a dual-graph neural networks (GNNs)-based contrastive learning (CL) integrated with mixed molecular fingerprints (MFPs) for molecular property prediction. The DGCL-MFP method contains two stages. In the first pretraini...
Databases as Topic ROC Curve Small Molecule Libraries Area Under Curve Graph Neural Networks Supervised Machine Learning
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A Meta-Learning Approach for Classifying Multimodal Retinal Images of Retinal Vein Occlusion With Limited Data.

Translational vision science & technology Sep 3, 2024
PURPOSE: To propose and validate a meta-learning approach for detecting retinal vein occlusion (RVO) from multimodal images with only a few samples.
Retinal Vein Occlusion Algorithms Humans Cross-Sectional Studies Deep Learning ROC Curve Multimodal Imaging Area Under Curve Fundus Oculi Fluorescein Angiography
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Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma.

Investigative ophthalmology & visual science Sep 3, 2024
PURPOSE: To use neural network machine learning (ML) models to identify the most relevant ocular biomarkers for the diagnosis of primary open-angle glaucoma (POAG).
Biomarkers Female Aged Intraocular Pressure Male Humans Middle Aged Neural Networks, Computer ROC Curve Tomography, Optical Coherence Retinal Ganglion Cells Prospective Studies Area Under Curve Nerve Fibers Optic Disk Visual Fields Glaucoma, Open-Angle
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Clinical utility of an artificial intelligence radiomics-based tool for risk stratification of pulmonary nodules.

JNCI cancer spectrum Sep 2, 2024
BACKGROUND: Clinical utility data on pulmonary nodule (PN) risk stratification biomarkers are lacking. We aimed to determine the incremental predictive value and clinical utility of using an artificial intelligence (AI) radiomics-based computer-aided...
Biopsy Solitary Pulmonary Nodule Predictive Value of Tests Area Under Curve Retrospective Studies Tomography, X-Ray Computed Diagnosis, Computer-Assisted Female Radiomics Humans Lung Neoplasms Aged Male Artificial Intelligence Logistic Models Middle Aged Multiple Pulmonary Nodules Risk Assessment
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