AIMC Topic: ROC Curve

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Construction and validation of a risk prediction model for chronic obstructive pulmonary disease (COPD): a cross-sectional study based on the NHANES database from 2009 to 2018.

BMC pulmonary medicine Jul 3, 2025
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major global public health concern, and early screening and identification of high-risk populations are critical for reducing the disease burden. Although several studies have explored the...
Risk Factors Aged Adult Pulmonary Disease, Chronic Obstructive Humans Machine Learning Female ROC Curve Logistic Models Nutrition Surveys United States Cross-Sectional Studies Male Middle Aged Risk Assessment
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Artificial intelligence-assisted endobronchial ultrasound for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis.

BMC pulmonary medicine Jul 2, 2025
BACKGROUND: Endobronchial ultrasound (EBUS) is a widely used imaging modality for evaluating thoracic lymph nodes (LNs), particularly in the staging of lung cancer. Artificial intelligence (AI)-assisted EBUS has emerged as a promising tool to enhance...
Humans Artificial Intelligence Sensitivity and Specificity Lymphatic Metastasis ROC Curve Bronchoscopy Lung Neoplasms Diagnosis, Differential Lymph Nodes Endosonography
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BMC pregnancy and childbirth Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Young Adult Adult Cross-Sectional Studies ROC Curve Decision Support Systems, Clinical Logistic Models Retrospective Studies Support Vector Machine Bayes Theorem Humans Pregnancy Ghana Machine Learning Female Hospitals, District Algorithms Cesarean Section
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Identification of MEG3 and MAPK3 as potential therapeutic targets for osteoarthritis through multiomics integration and machine learning.

Scientific reports Jul 2, 2025
Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder, yet its underlying molecular mechanisms remain puzzling. This study aimed to uncover the genes with a causal relationship to KOA using Mendelian randomization (MR), transcriptomic ...
ROC Curve Multiomics RNA, Long Noncoding Mendelian Randomization Analysis Osteoarthritis, Knee Humans Quantitative Trait Loci Machine Learning Mitogen-Activated Protein Kinase 3 Gene Expression Profiling Genome-Wide Association Study
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False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
ROC Curve False Positive Reactions Computer Security Federated Learning Machine Learning Algorithms Electronic Health Records Humans
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Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension.

Scientific reports Jul 2, 2025
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracranial hypertension (IH) following primary decompressive craniectomy (DC) in patients with severe traumatic brain injury (TBI) and to demonstrate its pote...
Brain Injuries, Traumatic Intracranial Pressure Intracranial Hypertension Optic Nerve Deep Learning ROC Curve Nomograms Decompressive Craniectomy Humans Female Adult Radiomics Male Middle Aged Hemodynamics
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Key factors in predictive analysis of cardiovascular risks in public health.

Scientific reports Jul 2, 2025
This research emphasizes the role of analytics in evaluating the risk of disease (CVD) focusing on thorough data preparation and feature engineering for accurate predictions. We studied machine learning (ML) and learning (DL) models, such as Logistic...
Risk Factors Cardiovascular Diseases Risk Assessment Public Health Humans Machine Learning Heart Disease Risk Factors Deep Learning ROC Curve Logistic Models
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Integrating bioinformatics and machine learning to investigate the mechanisms by which three major respiratory infectious diseases exacerbate heart failure.

Scientific reports Jul 2, 2025
Heart failure (HF) is a severe cardiovascular disease often worsened by respiratory infections like influenza, COVID-19, and community-acquired pneumonia (CAP). This study aims to uncover the molecular commonalities among these respiratory diseases a...
SARS-CoV-2 ROC Curve Gene Regulatory Networks Computational Biology Influenza, Human Heart Failure Community-Acquired Infections Humans Machine Learning COVID-19
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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Scientific reports Jul 2, 2025
Hip fractures among the elderly population continue to present significant risks and high mortality rates despite advancements in surgical procedures. In this study, we developed machine learning (ML) algorithms to estimate 30-day mortality risk post...
ROC Curve Hip Fractures Humans Machine Learning Female Algorithms Aged Aged, 80 and over Male
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Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.

Scientific reports Jul 2, 2025
Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT) can be highly challenging since these diseases cause minor changes in the brain's anatomy. Magnetic Resonance Imaging (MRI) is a vital tool for diag...
Humans Neural Networks, Computer Machine Learning Nervous System Diseases Deep Learning Magnetic Resonance Imaging ROC Curve Alzheimer Disease Early Diagnosis
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