AIMC Topic: ROC Curve

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A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.

IEEE journal of biomedical and health informatics Jul 27, 2021
OBJECTIVE: Coronavirus disease 2019 (COVID-19) has caused considerable morbidity and mortality, especially in patients with underlying health conditions. A precise prognostic tool to identify poor outcomes among such cases is desperately needed.
Female SARS-CoV-2 Aged Aged, 80 and over Prognosis Retrospective Studies Tomography, X-Ray Computed Deep Learning ROC Curve Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Lung Humans Comorbidity COVID-19
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Diagnosis of retinal disorders from Optical Coherence Tomography images using CNN.

PloS one Jul 27, 2021
An efficient automatic decision support system for detection of retinal disorders is important and is the need of the hour. Optical Coherence Tomography (OCT) is the current imaging modality for the early detection of retinal disorders non-invasively...
Macular Edema Macular Degeneration Retinal Diseases Choroidal Neovascularization ROC Curve Humans Area Under Curve Neural Networks, Computer Tomography, Optical Coherence Sensitivity and Specificity Retina
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How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region.

Journal of environmental management Jul 26, 2021
Although the effect of digital elevation model (DEM) and its spatial resolution on flood simulation modeling has been well studied, the effect of coarse and finer resolution image and DEM data on machine learning ensemble flood susceptibility predict...
ROC Curve Floods Neural Networks, Computer Machine Learning Algorithms
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Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets.

Scientific reports Jul 23, 2021
COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three publicly available high thr...
Machine Learning Metabolomics Software Immunity, Innate COVID-19 Proteomics Databases, Factual Databases, Protein Signal Transduction Interferon-gamma Biomarkers Humans Databases, Genetic SARS-CoV-2 Severity of Illness Index Computer Simulation Gene Expression Profiling Prognosis ROC Curve
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Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.

BMC medical imaging Jul 23, 2021
BACKGROUND: The aim of this study was to investigate the potential use of renal ultrasonography radiomics features in the histologic classification of glomerulopathy.
Glomerulonephritis Humans Machine Learning Algorithms Logistic Models Ultrasonography Female Diagnosis, Differential Adult Glomerulonephritis, IGA Male Glomerulonephritis, Membranous Middle Aged ROC Curve Kidney
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Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Jul 19, 2021
BACKGROUND: We previously developed a deep-learning (DL) network for image denoising in SPECT-myocardial perfusion imaging (MPI). Here we investigate whether this DL network can be utilized for improving detection of perfusion defects in standard-dos...
Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging ROC Curve Image Processing, Computer-Assisted Perfusion Humans Deep Learning
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Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 Prediction.

International journal of molecular sciences Jul 19, 2021
Drug responses in cancer are diverse due to heterogenous genomic profiles. Drug responsiveness prediction is important in clinical response to specific cancer treatments. Recently, multi-class drug responsiveness models based on deep learning (DL) mo...
ROC Curve Models, Theoretical Inhibitory Concentration 50 Biomarkers, Pharmacological Growth Inhibitors Precision Medicine Antineoplastic Agents Deep Learning Pharmacogenetics Humans Neural Networks, Computer Forecasting
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Ensemble learning application to discover new trypanothione synthetase inhibitors.

Molecular diversity Jul 15, 2021
Trypanosomatid-caused diseases are among the neglected infectious diseases with the highest disease burden, affecting about 27 million people worldwide and, in particular, socio-economically vulnerable populations. Trypanothione synthetase (TryS) is ...
Humans Machine Learning Models, Theoretical Structure-Activity Relationship Metabolic Networks and Pathways Drug Evaluation, Preclinical Algorithms Drug Discovery ROC Curve Amide Synthases Enzyme Inhibitors Antiprotozoal Agents Databases, Pharmaceutical
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Deep learning-assisted (automatic) diagnosis of glaucoma using a smartphone.

The British journal of ophthalmology Jul 14, 2021
BACKGROUND/AIMS: To validate a deep learning algorithm to diagnose glaucoma from fundus photography obtained with a smartphone.
ROC Curve Smartphone Fundus Oculi Humans Optic Disk Glaucoma Photography Deep Learning
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Combining Genetic Algorithms and SVM for Breast Cancer Diagnosis Using Infrared Thermography.

Sensors (Basel, Switzerland) Jul 14, 2021
Breast cancer is one of the leading causes of mortality globally, but early diagnosis and treatment can increase the cancer survival rate. In this context, thermography is a suitable approach to help early diagnosis due to the temperature difference ...
Humans Algorithms Female Breast Neoplasms ROC Curve Support Vector Machine Thermography
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