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ROC Curve

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An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus.

Scientific reports Jan 21, 2022
Gestational Diabetes Mellitus (GDM), a common pregnancy complication associated with many maternal and neonatal consequences, is increased in mothers with overweight and obesity. Interventions initiated early in pregnancy can reduce the rate of GDM i...
Smartphone Humans Mobile Applications Machine Learning Maternal Age Risk Assessment Pregnancy Overweight Female ROC Curve Decision Support Systems, Clinical Risk Factors Adult Models, Statistical Randomized Controlled Trials as Topic Diabetes, Gestational
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Automated detection of COVID-19 through convolutional neural network using chest x-ray images.

PloS one Jan 21, 2022
The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges to the variations of the...
Diagnosis, Differential Image Interpretation, Computer-Assisted Radiography, Thoracic Humans Pneumonia, Bacterial COVID-19 Case-Control Studies Databases, Factual Deep Learning Female ROC Curve SARS-CoV-2 Male
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A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma.

Neuroradiology Jan 17, 2022
PURPOSE: This study aimed to investigate the clinical usefulness of the enhanced-T1WI-based deep learning radiomics model (DLRM) in differentiating low- and high-grade meningiomas.
Meningeal Neoplasms Algorithms Retrospective Studies Deep Learning Magnetic Resonance Imaging Meningioma Cohort Studies ROC Curve Humans
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A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

IEEE journal of biomedical and health informatics Jan 17, 2022
The ability to perform accurate prognosis is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome prediction models suffer from a low recall of infrequent positive outcomes. We present a...
Electronic Health Records Hospitalization Length of Stay ROC Curve Humans Machine Learning Retrospective Studies
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Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study.

The Journal of hospital infection Jan 16, 2022
BACKGROUND: Urinary tract infection (UTI) is one of major nosocomial infections significantly affecting the outcomes of immobile stroke patients. Previous studies have identified several risk factors, but it is still challenging to accurately estimat...
ROC Curve Urinary Tract Infections Retrospective Studies Humans Female Machine Learning Cohort Studies
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Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

BMC pregnancy and childbirth Jan 16, 2022
BACKGROUND: Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the ...
Deep Learning ROC Curve Predictive Value of Tests Humans Reproducibility of Results Datasets as Topic Endpoint Determination Live Birth Time-Lapse Imaging Area Under Curve Microscopy Probability Single Embryo Transfer
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Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values.

European journal of radiology Jan 15, 2022
PURPOSE: To develop a machine-learning-based radiomics signature of ADC for discriminating between benign and malignant testicular masses and compare its classification performance with that of minimum and mean ADC.
Reproducibility of Results ROC Curve Humans Diffusion Magnetic Resonance Imaging Machine Learning Retrospective Studies
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Oncocytoma-Related Gene Signature to Differentiate Chromophobe Renal Cancer and Oncocytoma Using Machine Learning.

Cells Jan 15, 2022
Publicly available gene expression datasets were analyzed to develop a chromophobe and oncocytoma related gene signature (COGS) to distinguish chRCC from RO. The datasets GSE11151, GSE19982, GSE2109, GSE8271 and GSE11024 were combined into a discover...
Machine Learning Algorithms Humans Carcinoma, Renal Cell Carbohydrate Metabolism Genes, Neoplasm Gene Expression Regulation, Neoplastic Databases, Genetic Adenoma, Oxyphilic Diagnosis, Differential Reproducibility of Results Gene Expression Profiling ROC Curve Warburg Effect, Oncologic
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StrVCTVRE: A supervised learning method to predict the pathogenicity of human genome structural variants.

American journal of human genetics Jan 14, 2022
Whole-genome sequencing resolves many clinical cases where standard diagnostic methods have failed. However, at least half of these cases remain unresolved after whole-genome sequencing. Structural variants (SVs; genomic variants larger than 50 base ...
Whole Genome Sequencing Algorithms Supervised Machine Learning ROC Curve Datasets as Topic Humans Genomics Genomic Structural Variation Software Genome, Human Exons
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Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods.

Journal of digital imaging Jan 11, 2022
Rheumatoid arthritis and hand osteoarthritis are two different arthritis that causes pain, function limitation, and permanent joint damage in the hands. Plain hand radiographs are the most commonly used imaging methods for the diagnosis, differential...
ROC Curve Arthritis, Rheumatoid Osteoarthritis Neural Networks, Computer Humans Retrospective Studies Deep Learning
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