AIMC Topic:
ROC Curve

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Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

European radiology Jul 22, 2020
OBJECTIVE: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.
Diagnosis, Computer-Assisted ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted Area Under Curve Aged Adult Sensitivity and Specificity Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Humans Machine Learning
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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
Data Mining Observer Variation Medical Informatics Automation Pattern Recognition, Automated Smoking False Positive Reactions Tobacco Use Disorder Humans Machine Learning Software Sweden Algorithms ROC Curve Research Design Support Vector Machine Electronic Health Records Natural Language Processing Reproducibility of Results Bayes Theorem
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Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Humans Support Vector Machine Area Under Curve Coronary Angiography Ultrasonography, Interventional Linear Models Coronary Vessels Male Machine Learning Plaque, Atherosclerotic Middle Aged Models, Cardiovascular Female Ultrasonography Risk Factors ROC Curve Biomechanical Phenomena Imaging, Three-Dimensional
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EDeepSSP: Explainable deep neural networks for exact splice sites prediction.

Journal of bioinformatics and computational biology Jul 22, 2020
Splice site prediction is crucial for understanding underlying gene regulation, gene function for better genome annotation. Many computational methods exist for recognizing the splice sites. Although most of the methods achieve a competent performanc...
Humans Neural Networks, Computer Animals Deep Learning Arabidopsis Data Visualization ROC Curve Computational Biology Databases, Genetic Drosophila melanogaster RNA Splice Sites
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Lightweight Learning-Based Automatic Segmentation of Subretinal Blebs on Microscope-Integrated Optical Coherence Tomography Images.

American journal of ophthalmology Jul 21, 2020
PURPOSE: Subretinal injections of therapeutics are commonly used to treat ocular diseases. Accurate dosing of therapeutics at target locations is crucial but difficult to achieve using subretinal injections due to leakage, and there is no method avai...
Ringer's Lactate Algorithms Retina Animals Swine Models, Animal Deep Learning Injections, Intraocular ROC Curve Subretinal Fluid Imaging, Three-Dimensional Tomography, Optical Coherence
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Improved myocardial perfusion PET imaging using artificial neural networks.

Physics in medicine and biology Jul 20, 2020
Myocardial perfusion (MP) PET imaging plays a key role in risk assessment and stratification of patients with coronary artery disease. In this work, we proposed a patch-based artificial neural network (ANN) fusion approach that integrates information...
Image Processing, Computer-Assisted Heart Ventricles Positron-Emission Tomography Phantoms, Imaging Myocardial Perfusion Imaging Humans Neural Networks, Computer Female Male ROC Curve
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From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.

European radiology Jul 18, 2020
OBJECTIVE: To develop a fully automated AI system to quantitatively assess the disease severity and disease progression of COVID-19 using thick-section chest CT images.
Tomography, X-Ray Computed Female SARS-CoV-2 Male Middle Aged Humans Artificial Intelligence Pandemics COVID-19 Retrospective Studies Pneumonia, Viral ROC Curve Disease Progression Pneumonia Lung Coronavirus Infections Deep Learning Community-Acquired Infections China Betacoronavirus
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Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement.

The Annals of thoracic surgery Jul 17, 2020
BACKGROUND: This study evaluated the performance of a machine learning (ML) algorithm in predicting outcomes of surgical aortic valve replacement (SAVR).
ROC Curve Aortic Valve Stenosis Aortic Valve Education, Medical, Graduate Transcatheter Aortic Valve Replacement Prognosis Female Aged Male Humans Machine Learning Algorithms
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Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections.

Viruses Jul 16, 2020
This generation faces existential threats because of the global assault of the novel Corona virus 2019 (i.e., COVID-19). With more than thirteen million infected and nearly 600000 fatalities in 188 countries/regions, COVID-19 is the worst calamity si...
Betacoronavirus Tomography, X-Ray Computed Humans Pneumonia, Viral SARS-CoV-2 Machine Learning Deep Learning Pandemics ROC Curve COVID-19 Coronavirus Infections
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Deep learning-based classification of the mouse estrous cycle stages.

Scientific reports Jul 16, 2020
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary to determine animals' estrous cycle stages from vaginal smear cytology. However, the determination of estrous stages requires extensive training, tak...
Area Under Curve Leukocytes Estrous Cycle Data Accuracy Vagina Vaginal Smears Mice Mice, Inbred C57BL Epithelial Cells Humans Neural Networks, Computer Female Sensitivity and Specificity Adult Animals Male Deep Learning ROC Curve
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