AIMC Topic: ROC Curve

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Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.

PloS one Aug 14, 2024
The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed to apply self-supervised learning using masked autoencoders (MAEs) to improve the performance of the 12-lead electro...
Middle Aged Deep Learning ROC Curve Humans Supervised Machine Learning Aged Ventricular Dysfunction, Left Adult Neural Networks, Computer Electrocardiography Male Algorithms Echocardiography Female
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Development and validation of a machine learning-based, point-of-care risk calculator for post-ERCP pancreatitis and prophylaxis selection.

Gastrointestinal endoscopy Aug 13, 2024
BACKGROUND AND AIMS: A robust model of post-ERCP pancreatitis (PEP) risk is not currently available. We aimed to develop a machine learning-based tool for PEP risk prediction to aid in clinical decision making related to periprocedural prophylaxis se...
Aged Male Pancreatic Ducts Humans Point-of-Care Systems Administration, Rectal Machine Learning Middle Aged Area Under Curve Risk Assessment Fluid Therapy Stents Pilot Projects Cholangiopancreatography, Endoscopic Retrograde ROC Curve Pancreatitis Anti-Inflammatory Agents, Non-Steroidal Prospective Studies Clinical Decision-Making Female Risk Factors
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Identification and Validation of Aging Related Genes Signature in Chronic Obstructive Pulmonary Disease.

COPD Aug 13, 2024
PURPOSE: Chronic Obstructive Pulmonary Disease (COPD) is regarded as an accelerated aging disease. Aging-related genes in COPD are still poorly understood.
Gene Regulatory Networks Support Vector Machine Aging Databases, Genetic Gene Expression Profiling Algorithms Humans Class Ia Phosphatidylinositol 3-Kinase Real-Time Polymerase Chain Reaction Biomarkers ROC Curve Pulmonary Disease, Chronic Obstructive
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Preventive machine learning models incorporating health checkup data and hair mineral analysis for low bone mass identification.

Scientific reports Aug 13, 2024
Machine learning (ML) models have been increasingly employed to predict osteoporosis. However, the incorporation of hair minerals into ML models remains unexplored. This study aimed to develop ML models for predicting low bone mass (LBM) using health...
ROC Curve Minerals Hair Humans Machine Learning Algorithms Aged Bone Density Osteoporosis Male Female Middle Aged
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Real-world evaluation of RetCAD deep-learning system for the detection of referable diabetic retinopathy and age-related macular degeneration.

Clinical & experimental optometry Aug 12, 2024
CLINICAL RELEVANCE: The challenges of establishing retinal screening programs in rural settings may be mitigated by the emergence of deep-learning systems for early disease detection.
Diabetic Retinopathy Retrospective Studies Female Aged Humans ROC Curve Rural Population Australia Fundus Oculi Macular Degeneration Sensitivity and Specificity Male Middle Aged Deep Learning
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Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning.

Resuscitation Aug 12, 2024
UNLABELLED: Out-of-hospital cardiac arrest (OHCA) is a critical condition with low survival rates. In patients with a return of spontaneous circulation, brain injury is a leading cause of death. In this study, we propose an interpretable machine lear...
Middle Aged ROC Curve Registries Cardiopulmonary Resuscitation Female Out-of-Hospital Cardiac Arrest Humans Sweden Machine Learning Aged Male
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Development and experimental validation of hypoxia-related gene signatures for osteosarcoma diagnosis and prognosis based on WGCNA and machine learning.

Scientific reports Aug 12, 2024
Osteosarcoma (OS) is the most common primary malignant tumour of the bone with high mortality. Here, we comprehensively analysed the hypoxia signalling in OS and further constructed novel hypoxia-related gene signatures for OS prediction and prognosi...
Bone Neoplasms Glycoproteins Hypoxia Intercellular Signaling Peptides and Proteins Male Gene Expression Profiling Transcriptome ROC Curve Gene Expression Regulation, Neoplastic Membrane Proteins Nomograms Osteosarcoma Machine Learning Prognosis Female Biomarkers, Tumor Humans
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Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain.

Scientific reports Aug 12, 2024
This paper presents an analysis of trunk movement in women with postnatal low back pain using machine learning techniques. The study aims to identify the most important features related to low back pain and to develop accurate models for predicting l...
Humans Machine Learning Algorithms Female Low Back Pain Postpartum Period Movement Torso Adult Biomechanical Phenomena ROC Curve Range of Motion, Articular
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Prediction of Mycobacterium tuberculosis cell wall permeability using machine learning methods.

Molecular diversity Aug 12, 2024
Tuberculosis (TB) caused by the bacteria Mycobacterium tuberculosis (M. tb), continues to pose a significant worldwide health threat. The advent of drug-resistant strains of the disease highlights the critical need for novel treatments. The unique ce...
Machine Learning Tuberculosis Permeability Mycobacterium tuberculosis Cell Wall Algorithms ROC Curve Support Vector Machine Antitubercular Agents
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Intelligent diagnosis of Kawasaki disease from real-world data using interpretable machine learning models.

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese Aug 10, 2024
OBJECTIVE: This study aimed to leverage real-world electronic medical record data to develop interpretable machine learning models for diagnosis of Kawasaki disease while also exploring and prioritizing the significant risk factors.
Child Humans ROC Curve Machine Learning Mucocutaneous Lymph Node Syndrome Electronic Health Records Female Infant China Child, Preschool Risk Factors Male
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