AIMC Topic: Area Under Curve

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Mortality Prediction in Patients With Breast Cancer by Artificial Neural Network Model and Elastic Net Regression.

Journal of research in health sciences Dec 25, 2024
BACKGROUND: Breast cancer (BC) is the most common cancer in women, and it is important to identify models that can accurately predict mortality in patients with this cancer. The aim of the present study was to use the elastic net regression and artif...
Humans Neural Networks, Computer Female Aged Middle Aged ROC Curve Area Under Curve Iran Adult Sensitivity and Specificity Breast Neoplasms Cross-Sectional Studies
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Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.

RMD open Dec 23, 2024
PURPOSE: To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.
Middle Aged Disease Progression Deep Learning ROC Curve Sacroiliac Joint Sacroiliitis Area Under Curve Radiography Female Humans Adult Retrospective Studies Sensitivity and Specificity Male
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Area under the ROC Curve has the most consistent evaluation for binary classification.

PloS one Dec 23, 2024
The proper use of model evaluation metrics is important for model evaluation and model selection in binary classification tasks. This study investigates how consistent different metrics are at evaluating models across data of different prevalence whi...
Sample Size Machine Learning Data Interpretation, Statistical ROC Curve Evaluation Studies as Topic Models, Statistical Area Under Curve
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Predicting preterm birth using electronic medical records from multiple prenatal visits.

BMC pregnancy and childbirth Dec 21, 2024
This study aimed to predict preterm birth in nulliparous women using machine learning and easily accessible variables from prenatal visits. Elastic net regularized logistic regression models were developed and evaluated using 5-fold cross-validation ...
Gestational Age Cervical Length Measurement Risk Assessment Logistic Models Predictive Value of Tests Area Under Curve Pregnancy Female Infant, Newborn Premature Birth Sensitivity and Specificity Ultrasonography, Prenatal Prenatal Care Young Adult Adult Humans Machine Learning Electronic Health Records
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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Liver Cirrhosis Support Vector Machine Magnetic Resonance Imaging Liver Biopsy Image Interpretation, Computer-Assisted Reference Standards Principal Component Analysis Area Under Curve Male Middle Aged Severity of Illness Index ROC Curve Retrospective Studies Female Aged Adult Humans Elasticity Imaging Techniques Echo-Planar Imaging
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Enhancing classification of active and non-active lesions in multiple sclerosis: machine learning models and feature selection techniques.

BMC medical imaging Dec 20, 2024
INTRODUCTION: Gadolinium-based T1-weighted MRI sequence is the gold standard for the detection of active multiple sclerosis (MS) lesions. The performance of machine learning (ML) and deep learning (DL) models in the classification of active and non-a...
Humans Machine Learning Deep Learning Magnetic Resonance Imaging Area Under Curve Multiple Sclerosis Image Interpretation, Computer-Assisted Female Adult Sensitivity and Specificity Male
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Robust multi-modal fusion architecture for medical data with knowledge distillation.

Computer methods and programs in biomedicine Dec 18, 2024
BACKGROUND: The fusion of multi-modal data has been shown to significantly enhance the performance of deep learning models, particularly on medical data. However, missing modalities are common in medical data due to patient specificity, which poses a...
Area Under Curve Algorithms Humans Deep Learning Hospital Mortality ROC Curve
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Artificial Intelligence in Diagnostics: Enhancing Urine Test Accuracy Using a Mobile Phone-Based Reading System.

Annals of laboratory medicine Dec 16, 2024
BACKGROUND: Urinalysis, an essential diagnostic tool, faces challenges in terms of standardization and accuracy. The use of artificial intelligence (AI) with mobile technology can potentially solve these challenges. Therefore, we investigated the eff...
Glucose Urinalysis ROC Curve Humans Cell Phone Smartphone Nitrites Artificial Intelligence Mobile Applications Algorithms Area Under Curve Sensitivity and Specificity
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Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA-AF registry phase II/III.

European journal of clinical investigation Dec 11, 2024
BACKGROUND: Although oral anticoagulation decreases the risk of thromboembolism in patients with atrial fibrillation (AF), a residual risk of thrombotic events still exists. This study aimed to construct machine learning (ML) models to predict the re...
Risk Assessment ROC Curve Logistic Models Thrombosis Ischemic Stroke Algorithms Administration, Oral Anticoagulants Atrial Fibrillation Area Under Curve Female Aged Registries Ischemic Attack, Transient Risk Factors Humans Aged, 80 and over Stroke Thromboembolism Machine Learning Myocardial Infarction Male Middle Aged
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Prediction of mortality in sepsis patients using stacked ensemble machine learning algorithm.

Journal of postgraduate medicine Dec 6, 2024
INTRODUCTION: Machine learning (ML) has been tried in predicting outcomes following sepsis. This study aims to identify the utility of stacked ensemble algorithm in predicting mortality.
Machine Learning Algorithms Prognosis Female Male Middle Aged Sepsis Aged Adult Humans Cohort Studies Hospital Mortality Support Vector Machine Area Under Curve
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