AIMC Topic: ROC Curve

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Prediction of surgical necessity in children with ureteropelvic junction obstruction using machine learning.

Irish journal of medical science Jan 27, 2025
BACKGROUND: Hydronephrosis developing at the ureteropelvic junction due to obstruction poses clinical challenges as it has the potential to cause renal damage.
Female Male Infant Child, Preschool Humans Machine Learning Retrospective Studies Hydronephrosis Ureteral Obstruction Child ROC Curve Logistic Models Kidney Pelvis
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Comparative Analysis of Machine Learning Algorithms Used for Translating Aptamer-Antigen Binding Kinetic Profiles to Diagnostic Decisions.

ACS sensors Jan 27, 2025
Current approaches for classifying biosensor data in diagnostics rely on fixed decision thresholds based on receiver operating characteristic (ROC) curves, which can be limited in accuracy for complex and variable signals. To address these limitation...
Saliva COVID-19 Algorithms SARS-CoV-2 ROC Curve Aptamers, Nucleotide Biosensing Techniques Support Vector Machine Kinetics Humans Neural Networks, Computer Machine Learning
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Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers' pneumoconiosis.

Biomedical engineering online Jan 27, 2025
BACKGROUND: Coal workers' pneumoconiosis is a chronic occupational lung disease with considerable pulmonary complications, including irreversible lung diseases that are too complex to accurately identify via chest X-rays. The classification of clinic...
Male Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Anthracosis Humans Algorithms Tomography, X-Ray Computed Aged
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Multi scale multi attention network for blood vessel segmentation in fundus images.

Scientific reports Jan 27, 2025
Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the co...
Humans Neural Networks, Computer Retinal Vessels Algorithms ROC Curve Image Processing, Computer-Assisted Fundus Oculi
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Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization.

PloS one Jan 27, 2025
In 2019, the novel coronavirus swept the world, exposing the monitoring and early warning problems of the medical system. Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. However, tr...
Particle Swarm Optimization False Positive Reactions Betacoronavirus Pneumonia, Viral Algorithms Tomography, X-Ray Computed Humans Deep Learning SARS-CoV-2 Pandemics Lung COVID-19 ROC Curve Image Processing, Computer-Assisted Coronavirus Infections
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Plasma IL-17A is increased in patients with critical MIS-C and associated to in-hospital mortality.

Frontiers in immunology Jan 27, 2025
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a rare and severe post-COVID-19 complication with multiple phenotypes.
Intensive Care Units, Pediatric Male Oxidative Stress Humans Infant Child Adolescent Biomarkers COVID-19 ROC Curve Interleukin-17 Child, Preschool Prospective Studies Female Hospital Mortality Infant, Newborn Systemic Inflammatory Response Syndrome SARS-CoV-2
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Convolutional neural network-based method for the real-time detection of reflex syncope during head-up tilt test.

Computer methods and programs in biomedicine Jan 26, 2025
BACKGROUND AND OBJECTIVES: Reflex syncope (RS) is the most common type of syncope caused by dysregulation of the autonomic nervous system. Diagnosing RS typically involves the head-up tilt test (HUTT), which tracks physiological signals such as blood...
Signal Processing, Computer-Assisted Humans Syncope Neural Networks, Computer Convolutional Neural Networks Tilt-Table Test Algorithms Adult ROC Curve Female Male Electrocardiography Middle Aged Blood Pressure Deep Learning
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Research on noise-induced hearing loss based on functional and structural MRI using machine learning methods.

Scientific reports Jan 26, 2025
Noise-induced hearing loss (NIHL) is a common occupational condition. The aim of this study was to develop a classification model for NIHL on the basis of both functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sM...
Humans Machine Learning Magnetic Resonance Imaging Male Gray Matter Middle Aged Brain Hearing Loss, Noise-Induced ROC Curve Female Support Vector Machine Adult
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Harnessing Machine Learning and Nomogram Models to Aid in Predicting Progression-Free Survival for Gastric Cancer Patients Post-Gastrectomy with Deficient Mismatch Repair(dMMR).

BMC cancer Jan 24, 2025
OBJECTIVE: To assess the effectiveness of a machine learning framework and nomogram in predicting progression-free survival (PFS) post-radical gastrectomy in patients with dMMR.
Middle Aged ROC Curve Nomograms Gastrectomy Aged Adult Stomach Neoplasms Male Humans Machine Learning Progression-Free Survival Prognosis Female Risk Factors
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Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity.

Scientific reports Jan 24, 2025
This study develops predictive models for Chinese female patients with VL utilizing machine learning techniques. The aim is to create an effective model that can assist in clinical diagnosis and treatment of vaginal relaxation, thereby enhancing wome...
Adult Middle Aged ROC Curve Vagina Humans Machine Learning Female
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