AIMC Topic: ROC Curve

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Machine learning-based prediction of bleeding risk in extracorporeal membrane oxygenation patients using transfusion as a surrogate marker.

Transfusion Apr 25, 2025
BACKGROUND: The increasing use of extracorporeal membrane oxygenation (ECMO) has highlighted challenges in managing bleeding complications. Optimal transfusion strategies remain uncertain for this diverse patient group, necessitating accurate predict...
Hemorrhage Erythrocyte Transfusion Risk Factors Aged Adult Male Middle Aged ROC Curve Blood Transfusion Extracorporeal Membrane Oxygenation Humans Machine Learning Biomarkers Female
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A population based optimization of convolutional neural networks for chronic kidney disease prediction.

Scientific reports Apr 25, 2025
Chronic kidney disease (CKD) is a global public health concern, and the timely detection of the disease is priceless. Most of the classical machine learning models have the major drawbacks of being unsophisticated, non-robust, and non-accurate. This ...
Machine Learning Algorithms Convolutional Neural Networks ROC Curve Humans Neural Networks, Computer Renal Insufficiency, Chronic
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A novel cancer-associated fibroblast-related gene signature for predicting diffuse large B cell lymphoma prognosis using weighted gene co-expression network analysis and machine learning.

The Journal of international medical research Apr 25, 2025
ObjectiveOur objective was to investigate a novel cancer-associated fibroblast-related gene signature for predicting clinical outcomes in patients with diffuse large B cell lymphoma.MethodsThe cancer-associated fibroblast-related module genes were id...
Lymphoma, Large B-Cell, Diffuse Male Middle Aged Gene Expression Profiling Transcriptome ROC Curve Gene Regulatory Networks Gene Expression Regulation, Neoplastic Prognosis Retrospective Studies Female Biomarkers, Tumor Humans Machine Learning Nomograms Cancer-Associated Fibroblasts Kaplan-Meier Estimate
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Analyzing factors influencing hospitalization costs for five common cancers in China using neural network models.

Journal of medical economics Apr 24, 2025
BACKGROUND: Malignant tumors are a major global health crisis, causing 25% of deaths in China, with lung, liver, thyroid, breast, and colon cancers being the most common. Understanding the factors influencing hospitalization costs for these cancers i...
Middle Aged Neoplasms China Thyroid Neoplasms Aged Adult Breast Neoplasms Male ROC Curve Lung Neoplasms Colonic Neoplasms Humans Neural Networks, Computer Female Hospitalization
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Artificial Delayed-phase Technetium-99m MIBI Scintigraphy From Early-phase Scintigraphy Improves Identification of Hyperfunctioning Parathyroid Lesions in Patients With Hyperparathyroidism.

Clinical nuclear medicine Apr 24, 2025
PURPOSE: The aim of this study was to generate and validate artificial delayed-phase technetium-99m methoxyisobutylisonitrile scintigraphy (aMIBI) images from early-phase technetium-99m methoxyisobutylisonitrile scintigraphy (eMIBI) images.
Female Aged Adult Male Humans Retrospective Studies Parathyroid Glands Radionuclide Imaging Technetium Tc 99m Sestamibi Organotechnetium Compounds Middle Aged Time Factors ROC Curve Hyperparathyroidism
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Construction and validation of prognostic model for ICU mortality in cardiac arrest patients: an interpretable machine learning modeling approach.

European journal of medical research Apr 24, 2025
BACKGROUND: The incidence and mortality of cardiac arrest (CA) is high. We developed interpretable machine learning models for early prediction of ICU mortality risk in patients diagnosed with CA.
Aged Male Middle Aged Hospital Mortality ROC Curve Heart Arrest Machine Learning Prognosis Intensive Care Units Female Humans
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Identifying disease progression biomarkers in metabolic associated steatotic liver disease (MASLD) through weighted gene co-expression network analysis and machine learning.

Journal of translational medicine Apr 24, 2025
BACKGROUND: Metabolic Associated Steatotic Liver Disease (MASLD), encompassing conditions simple liver steatosis (MAFL) and metabolic associated steatohepatitis (MASH), is the most prevalent chronic liver disease. Currently, the management of MASLD i...
Gene Regulatory Networks Fatty Liver Nomograms Gene Expression Regulation Humans Machine Learning Gene Ontology Disease Progression Gene Expression Profiling ROC Curve Protein Interaction Maps Biomarkers Reproducibility of Results Animals
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Comparative analysis of automated foul detection in football using deep learning architectures.

Scientific reports Apr 24, 2025
Automated foul detection in football represents a challenging task due to the dynamic nature of the game, the variability in player movements, and the ambiguity in differentiating fouls from regular physical contact. This study presents a comprehensi...
Image Processing, Computer-Assisted Football Soccer Humans Deep Learning ROC Curve
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Identification of Risk Group for Root Caries and Analysis of Associated Factors in Older Adults Using Unsupervised Machine Learning Clustering.

Clinical interventions in aging Apr 24, 2025
PURPOSE: This study aimed to identify the high-risk group for root caries using unsupervised machine learning and to explore the associated factors.
ROC Curve Logistic Models Age Factors Cluster Analysis Unsupervised Machine Learning Root Caries Aged Cross-Sectional Studies Male Risk Assessment Humans Female Risk Factors
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Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research.

PloS one Apr 24, 2025
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease with a fatal outcome, known for its rapid progression and unpredictable clinical course. However, the tools available for diagnosing and treating IPF are quite limited. T...
Databases, Genetic Humans Idiopathic Pulmonary Fibrosis Neural Networks, Computer Machine Learning Biomarkers Animals Gene Expression Profiling Transcriptome ROC Curve Gene Regulatory Networks
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