AIMC Topic: ROC Curve

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HEDDI-Net: heterogeneous network embedding for drug-disease association prediction and drug repurposing, with application to Alzheimer's disease.

Journal of translational medicine Feb 1, 2025
BACKGROUND: The traditional process of developing new drugs is time-consuming and often unsuccessful, making drug repurposing an appealing alternative due to its speed and safety. Graph neural networks (GCNs) have emerged as a leading approach for pr...
Alzheimer Disease Humans Neural Networks, Computer Algorithms ROC Curve Drug Repositioning
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Machine learning-based risk prediction of mild cognitive impairment in patients with chronic heart failure: A model development and validation study.

Geriatric nursing (New York, N.Y.) Feb 1, 2025
Accurate identification of individuals at high risk for mild cognitive impairment (MCI) among chronic heart failure (CHF) patients is crucial for reducing rehospitalization and mortality rates. This study aimed to develop and validate a machine learn...
Humans Machine Learning Female Risk Factors Nomograms Chronic Disease Heart Failure Middle Aged Risk Assessment Cognitive Dysfunction Aged ROC Curve Aged, 80 and over Cross-Sectional Studies Male
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Automated recognition and segmentation of lung cancer cytological images based on deep learning.

PloS one Jan 31, 2025
Compared with histological examination of lung cancer, cytology is less invasive and provides better preservation of complete morphology and detail. However, traditional cytological diagnosis requires an experienced pathologist to evaluate all sectio...
Image Processing, Computer-Assisted Lung Neoplasms Cytodiagnosis Bronchoalveolar Lavage Fluid Neural Networks, Computer Humans Algorithms Deep Learning ROC Curve
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Deep learning and machine learning in CT-based COPD diagnosis: Systematic review and meta-analysis.

International journal of medical informatics Jan 30, 2025
BACKGROUND: With advancements in medical technology and science, chronic obstructive pulmonary disease (COPD), one of the world's three major chronic diseases, has seen numerous remarkable outcomes when combined with artificial intelligence, particul...
Humans Machine Learning Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Deep Learning ROC Curve
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Individual risk and prognostic value prediction by interpretable machine learning for distant metastasis in neuroblastoma: A population-based study and an external validation.

International journal of medical informatics Jan 29, 2025
PURPOSE: Neuroblastoma (NB) is a childhood malignancy with a poor prognosis and a propensity for distant metastasis (DM). We aimed to establish machine learning (ML) based model to accurately predict risk of DM and prognosis of NB patients with DM.
ROC Curve SEER Program Neoplasm Metastasis Neuroblastoma Humans Risk Assessment Female Machine Learning Infant Risk Factors Algorithms Child, Preschool Male Prognosis Child
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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts.

Frontiers in immunology Jan 29, 2025
PURPOSE: Distinguishing between Osteonecrosis of the femoral head (ONFH) and Osteoarthritis (OA) can be subjective and vary between users with different backgrounds and expertise. This study aimed to construct and evaluate several Radiomics-based mac...
Female Humans Male Diagnosis, Differential Aged Middle Aged Femur Head Adult ROC Curve Machine Learning Osteoarthritis Radiomics Magnetic Resonance Imaging Retrospective Studies
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Clinical Validation of an AI System for Pneumoconiosis Detection Using Chest X-rays.

Journal of occupational and environmental medicine Jan 28, 2025
OBJECTIVE: The aims of the study were to develop and evaluate "eTóraxLaboral," an intelligent platform for detecting signs of pneumoconiosis in chest radiographs and to assess its predictive capacity.
Adult Sensitivity and Specificity Male Middle Aged Artificial Intelligence ROC Curve Humans Retrospective Studies Pneumoconiosis Female Predictive Value of Tests Aged Radiography, Thoracic
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Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study.

World journal of surgical oncology Jan 28, 2025
BACKGROUND: With the rising diagnostic rate of gallbladder polypoid lesions (GPLs), differentiating benign cholesterol polyps from gallbladder adenomas with a higher preoperative malignancy risk is crucial. This study aimed to establish a preoperativ...
Support Vector Machine Follow-Up Studies Adenoma Diagnosis, Differential Cholesterol Gallbladder Neoplasms Polyps Male Middle Aged Ultrasonography ROC Curve Female Aged Adult Humans Machine Learning Prognosis Retrospective Studies
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Identification of biomarkers associated with coronary artery disease and non-alcoholic fatty liver disease by bioinformatics analysis and machine learning.

Scientific reports Jan 28, 2025
The constantly emerging evidence indicates a close association between coronary artery disease (CAD) and non-alcoholic fatty liver disease (NAFLD). However, the exact mechanisms underlying their mutual relationship remain undefined. This study aims t...
ROC Curve Protein Interaction Maps Gene Regulatory Networks Computational Biology Machine Learning Biomarkers Gene Expression Profiling Transcriptome Databases, Genetic Coronary Artery Disease Non-alcoholic Fatty Liver Disease Gene Ontology Humans
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Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.

Journal of magnetic resonance imaging : JMRI Jan 27, 2025
BACKGROUND: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.
Female Reproducibility of Results Aged Adult Humans Artificial Intelligence Retrospective Studies Magnetic Resonance Imaging Spine Image Interpretation, Computer-Assisted Spinal Neoplasms Male Middle Aged Deep Learning ROC Curve
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