AIMC Topic: Area Under Curve

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Predicting the 28-day prognosis of acute-on-chronic liver failure patients based on machine learning.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Jul 14, 2024
BACKGROUND: We aimed to establish a prognostic predictive model based on machine learning (ML) methods to predict the 28-day mortality of acute-on-chronic liver failure (ACLF) patients, and to evaluate treatment effectiveness.
Area Under Curve Severity of Illness Index China ROC Curve Acute-On-Chronic Liver Failure Aged Adult Male Middle Aged Humans Machine Learning Prognosis Retrospective Studies Female
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State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset.

Scientific reports Jul 14, 2024
Aiming to apply automatic arousal detection to support sleep laboratories, we evaluated an optimized, state-of-the-art approach using data from daily work in our university hospital sleep laboratory. Therefore, a machine learning algorithm was traine...
Humans Machine Learning Female Aged Aged, 80 and over Statistics, Nonparametric Polysomnography Adolescent Young Adult Sleep Wake Disorders Adult Predictive Value of Tests Arousal Male Area Under Curve Middle Aged Sleep Datasets as Topic
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External validation of an artificial intelligence-based method for the detection and classification of molar incisor hypomineralisation in dental photographs.

Journal of dentistry Jul 5, 2024
OBJECTIVES: This ex vivo diagnostic study aimed to externally validate an open-access artificial intelligence (AI)-based model for the detection, classification, localisation and segmentation of enamel/molar incisor hypomineralisation (EH/MIH).
Molar Photography, Dental Molar Hypomineralization Humans Artificial Intelligence Reproducibility of Results Sensitivity and Specificity Image Processing, Computer-Assisted Area Under Curve Dental Enamel Incisor
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Development and external validation of machine learning-based models to predict patients with cellulitis developing sepsis during hospitalisation.

BMJ open Jul 5, 2024
OBJECTIVE: Cellulitis is the most common cause of skin-related hospitalisations, and the mortality of patients with sepsis remains high. Some stratification models have been developed, but their performance in external validation has been unsatisfact...
Machine Learning Retrospective Studies Female Hospitalization Aged Humans ROC Curve Area Under Curve Cellulitis Adult Male Middle Aged Sepsis
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External validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4-5 chronic kidney disease.

Journal of nephrology Jul 4, 2024
BACKGROUND: Chronic kidney disease (CKD) is associated with increased mortality. Individual mortality prediction could be of interest to improve individual clinical outcomes. Using an independent regional dataset, the aim of the present study was to ...
Humans Machine Learning Severity of Illness Index Time Factors ROC Curve Renal Insufficiency, Chronic Predictive Value of Tests Area Under Curve Cause of Death Aged Male Middle Aged Prognosis Risk Assessment Female Reproducibility of Results Risk Factors
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Discovery of urinary biosignatures for tuberculosis and nontuberculous mycobacteria classification using metabolomics and machine learning.

Scientific reports Jul 3, 2024
Nontuberculous mycobacteria (NTM) infection diagnosis remains a challenge due to its overlapping clinical symptoms with tuberculosis (TB), leading to inappropriate treatment. Herein, we employed noninvasive metabolic phenotyping coupled with comprehe...
Middle Aged ROC Curve Metabolomics Models, Statistical Liquid Chromatography-Mass Spectrometry Phenotype Biomarkers Aged Male Humans Random Forest Machine Learning Tuberculosis Mycobacterium Infections, Nontuberculous Down-Regulation Up-Regulation Metabolome Diagnosis, Differential Area Under Curve Amino Acids
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A deep learning-based algorithm for pulmonary tuberculosis detection in chest radiography.

Scientific reports Jun 28, 2024
In tuberculosis (TB), chest radiography (CXR) patterns are highly variable, mimicking pneumonia and many other diseases. This study aims to evaluate the efficacy of Google teachable machine, a deep neural network-based image classification tool, to d...
Tuberculosis, Pulmonary Radiography, Thoracic Male Humans Middle Aged Algorithms Deep Learning Female Area Under Curve Adult
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Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning.

Eye (London, England) Jun 25, 2024
PURPOSE: To provide automatic detection of Type 1 retinopathy of prematurity (ROP), Type 2 ROP, and A-ROP by deep learning-based analysis of fundus images obtained by clinical examination using convolutional neural networks.
Neural Networks, Computer Algorithms Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Area Under Curve Humans Male Fundus Oculi Deep Learning Infant, Premature ROC Curve Gestational Age Retinopathy of Prematurity
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A Combination of Machine Learning and PBPK Modeling Approach for Pharmacokinetics Prediction of Small Molecules in Humans.

Pharmaceutical research Jun 25, 2024
PURPOSE: Recently, there has been rapid development in model-informed drug development, which has the potential to reduce animal experiments and accelerate drug discovery. Physiologically based pharmacokinetic (PBPK) and machine learning (ML) models ...
Pharmaceutical Preparations Models, Biological Pharmacokinetics Drug Discovery Administration, Intravenous Caco-2 Cells Humans Blood Proteins Machine Learning Area Under Curve Computer Simulation Male
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Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature.

Journal of gastroenterology and hepatology Jun 23, 2024
BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) diagnosis mainly relies on its pathognomonic radiological profile, obviating the need for biopsy. The project of incorporating artificial intelligence (AI) techniques in HCC aims to improve the perfo...
Carcinoma, Hepatocellular Humans Magnetic Resonance Imaging Machine Learning Artificial Intelligence Area Under Curve Tomography, X-Ray Computed Deep Learning Ultrasonography Liver Neoplasms
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