AIMC Topic: ROC Curve

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Radiomics-based machine learning for automated detection of Pneumothorax in CT scans.

PloS one Dec 9, 2024
The increasing complexity of diagnostic imaging often leads to misinterpretations and diagnostic errors, particularly in critical conditions such as pneumothorax. This study addresses the pressing need for improved diagnostic accuracy in CT scans by ...
Adult Adolescent Radiomics ROC Curve Humans Male Tomography, X-Ray Computed Pneumothorax Middle Aged Machine Learning Female Algorithms Aged Young Adult
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Development and Validation of a Deep Learning System to Differentiate HER2-Zero, HER2-Low, and HER2-Positive Breast Cancer Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Dec 6, 2024
BACKGROUND: Previous studies explored MRI-based radiomic features for differentiating between human epidermal growth factor receptor 2 (HER2)-zero, HER2-low, and HER2-positive breast cancer, but deep learning's effectiveness is uncertain.
Deep Learning ROC Curve Contrast Media Magnetic Resonance Imaging Breast Image Interpretation, Computer-Assisted Receptor, ErbB-2 Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Female Reproducibility of Results Aged Humans Retrospective Studies
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Multi-horizon event detection for in-hospital clinical deterioration using dual-channel graph attention network.

International journal of medical informatics Dec 6, 2024
OBJECTIVE: In hospitals globally, the occurrence of clinical deterioration within the hospital setting poses a significant healthcare burden. Rapid clinical intervention becomes a crucial task in such cases. In this research, we propose an end-to-end...
Humans Neural Networks, Computer Algorithms Intensive Care Units Deep Learning ROC Curve Clinical Deterioration
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DRGAT: Predicting Drug Responses Via Diffusion-Based Graph Attention Network.

Journal of computational biology : a journal of computational molecular cell biology Dec 6, 2024
Accurately predicting drug response depending on a patient's genomic profile is critical for advancing personalized medicine. Deep learning approaches rise and especially the rise of graph neural networks leveraging large-scale omics datasets have be...
ROC Curve Computational Biology Neural Networks, Computer Algorithms Precision Medicine Deep Learning Humans
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Using Machine Learning to Fight Child Acute Malnutrition and Predict Weight Gain During Outpatient Treatment with a Simplified Combined Protocol.

Nutrients Dec 6, 2024
BACKGROUND/OBJECTIVES: Child acute malnutrition is a global public health problem, affecting 45 million children under 5 years of age. The World Health Organization recommends monitoring weight gain weekly as an indicator of the correct treatment. Ho...
Female Humans Male Weight Gain Machine Learning Algorithms Child Nutrition Disorders Outpatients Niger ROC Curve Socioeconomic Factors Ambulatory Care Infant Child, Preschool
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Prediction based on machine learning of tooth sensitivity for in-office dental bleaching.

Journal of dentistry Dec 5, 2024
OBJECTIVE: To develop a supervised machine learning model to predict the occurrence and intensity of tooth sensitivity (TS) in patients undergoing in-office dental bleaching testing various algorithm models.
Humans Tooth Bleaching Tooth Bleaching Agents Adolescent Young Adult ROC Curve Area Under Curve Adult Dentin Sensitivity Male Middle Aged Machine Learning Algorithms Retrospective Studies Female
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A multi-view prognostic model for diffuse large B-cell lymphoma based on kernel canonical correlation analysis and support vector machine.

BMC cancer Dec 5, 2024
BACKGROUND AND OBJECTIVE: Positron emission tomography/computed tomography (PET/CT) is recommended as the standard imaging modality for diffuse large B-cell lymphoma (DLBCL) staging. However, many studies have neglected the role of patients' prognost...
Humans Prognosis Male Middle Aged ROC Curve Support Vector Machine Female Aged Adult Lymphoma, Large B-Cell, Diffuse Positron Emission Tomography Computed Tomography
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Detection of three-rooted mandibular first molars on panoramic radiographs using deep learning.

Scientific reports Dec 5, 2024
This study aimed to develop a deep learning system for the detection of three-rooted mandibular first molars (MFMs) on panoramic radiographs and to assess its diagnostic performance. Panoramic radiographs, together with cone beam computed tomographic...
Radiography, Panoramic Molar Tooth Root Humans Neural Networks, Computer Adolescent Female Retrospective Studies ROC Curve Aged Cone-Beam Computed Tomography Young Adult Mandible Adult Sensitivity and Specificity Male Middle Aged Deep Learning
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Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study.

JMIR formative research Dec 5, 2024
BACKGROUND: While deep learning classifiers have shown remarkable results in detecting chest X-ray (CXR) pathologies, their adoption in clinical settings is often hampered by the lack of transparency. To bridge this gap, this study introduces the neu...
Neural Networks, Computer Algorithms Female Aged Humans ROC Curve Decision Trees Area Under Curve Radiography, Thoracic Adult Male Middle Aged Deep Learning
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Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.

PloS one Dec 5, 2024
The billing database of the universal healthcare system in Japan potentially includes large-cohort data of patients with immunoglobulin A nephropathy, diagnosis codes aimed at billing should not be directly used for clinical research because of the r...
Male Humans Middle Aged Machine Learning Glomerulonephritis, IGA Databases, Factual ROC Curve Female Japan Adult
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