AIMC Topic: ROC Curve

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Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis.

Scientific reports Aug 21, 2025
The accurate classification of obesity is essential for public health and clinical decision-making. Traditional anthropometric measures such as body mass index (BMI) have limitations in differentiating between fat and lean mass. This study aimed to e...
Humans Cross-Sectional Studies Male Middle Aged ROC Curve Body Mass Index Machine Learning Algorithms Female Adult Electric Impedance Obesity Body Composition Supervised Machine Learning Anthropometry
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The additive effect of the estimated glucose disposal rate and a body shape index on cardiovascular disease: A cross-sectional study.

PloS one Aug 21, 2025
BACKGROUND: The glucose disposal rate (eGDR) and a body shape index (ABSI) are predictors strongly associated with cardiovascular disease (CVD) and outcomes. However, whether they have additive effects on CVD risk is unknown. This study aimed to inve...
ROC Curve Nutrition Surveys Risk Factors Humans Male Aged Machine Learning Adult Cardiovascular Diseases Cross-Sectional Studies Female Middle Aged Blood Glucose
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Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset.

PloS one Aug 21, 2025
BACKGROUND: Retinal fundus images provide a noninvasive window into systemic health, offering opportunities for early detection of metabolic disorders such as metabolic syndrome (METS).
Retrospective Studies Metabolic Syndrome Female East Asian People Humans Aged Fundus Oculi Male Adult Neural Networks, Computer Retina Middle Aged Japan Deep Learning ROC Curve
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An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features.

Scientific reports Aug 20, 2025
Brain tumors have complex structures, and their shape, density, and size can vary widely. Consequently, their accurate classification, which involves identifying features that best describe the tumor data, is challenging. Using classical 2D texture f...
Support Vector Machine Magnetic Resonance Imaging Brain Neoplasms ROC Curve Imaging, Three-Dimensional Glioma Humans Algorithms
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Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models.

PloS one Aug 20, 2025
BACKGROUND: Lymphoma is a severe condition with high mortality rates, often requiring ICU admission. Traditional risk stratification tools like SOFA and APACHE scores struggle to capture complex clinical interactions. Machine learning (ML) models off...
Hospital Mortality ROC Curve Lymphoma Aged Adult Male Middle Aged Humans Machine Learning Retrospective Studies Intensive Care Units Female Risk Factors
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Machine learning models for the prediction of preclinical coal workers' pneumoconiosis: integrating CT radiomics and occupational health surveillance records.

Journal of translational medicine Aug 11, 2025
OBJECTIVES: This study aims to integrate CT imaging with occupational health surveillance data to construct a multimodal model for preclinical CWP identification and individualized risk evaluation.
Middle Aged ROC Curve Anthracosis Occupational Health Tomography, X-Ray Computed Humans Adult Machine Learning Radiomics Retrospective Studies Male
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An explainable predictive machine learning model for axillary lymph node metastasis in breast cancer based on multimodal data: A retrospective single-center study.

Journal of translational medicine Aug 11, 2025
OBJECTIVE: To develop explainable machine learning models that integrate multimodal imaging and pathological biomarkers to predict axillary lymph node metastasis (ALNM) in breast cancer patients and assess their clinical utility.
Multimodal Imaging Area Under Curve Bayes Theorem ROC Curve Lymph Nodes Aged Lymphatic Metastasis Adult Humans Axilla Breast Neoplasms Machine Learning Middle Aged Retrospective Studies Female
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AI-assisted cervical cytology precancerous screening for high-risk population in resource-limited regions using a compact microscope.

Nature communications Aug 11, 2025
Insufficient coverage of cervical cytology screening in resource-limited areas remains a major bottleneck for women's health, as traditional centralized methods require significant investment and many qualified pathologists. Using consumer-grade elec...
Artificial Intelligence Female Adult Uterine Cervical Neoplasms Humans Uterine Cervical Dysplasia ROC Curve Squamous Intraepithelial Lesions of the Cervix Vaginal Smears Papillomavirus Infections Mass Screening Cervix Uteri Early Detection of Cancer Microscopy Precancerous Conditions
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Artificial intelligence-assisted identification of condensing osteitis and idiopathic osteosclerosis on panoramic radiographs.

Scientific reports Aug 11, 2025
Idiopathic osteosclerosis (IOS) and condensing osteitis (CO) represent radiopaque lesions often detected incidentally within the jaws, posing substantial diagnostic challenges due to their overlapping radiographic characteristics. The objective of th...
Osteitis Osteosclerosis Algorithms Deep Learning Retrospective Studies Humans Male ROC Curve Female Middle Aged Artificial Intelligence Radiography, Panoramic Adult
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Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.

Scientific reports Aug 11, 2025
Microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) require distinct treatment strategies and are associated with different prognoses, underscoring the importance of accurate differentiation. This study aims to develop a predictive m...
Adenocarcinoma of Lung Aged Deep Learning Humans Radiomics Retrospective Studies ROC Curve Male Tomography, X-Ray Computed Lung Neoplasms Middle Aged Female Neoplasm Invasiveness
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