AIMC Topic: ROC Curve

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Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.

European radiology Jan 14, 2021
OBJECTIVE: To investigate the application of machine learning-based ultrasound radiomics in preoperative classification of primary and metastatic liver cancer.
Machine Learning Retrospective Studies Ultrasonography Humans ROC Curve Liver Neoplasms
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A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning.

Interdisciplinary sciences, computational life sciences Jan 12, 2021
The new type of corona virus (SARS-COV-2) emerging in Wuhan, China has spread rapidly to the world and has become a pandemic. In addition to having a significant impact on daily life, it also shows its effect in different areas, including public heal...
COVID-19 Algorithms Humans Protein Interaction Mapping ROC Curve Protein Binding Reproducibility of Results Amino Acids SARS-CoV-2 Genome, Viral Deep Learning
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Schizotypy in Parkinson's disease predicts dopamine-associated psychosis.

Scientific reports Jan 12, 2021
Psychosis is the most common neuropsychiatric side-effect of dopaminergic therapy in Parkinson's disease (PD). It is still unknown which factors determine individual proneness to psychotic symptoms. Schizotypy is a multifaceted personality trait rela...
Psychotic Disorders Dopamine Machine Learning Hallucinations Female Schizotypal Personality Disorder Cross-Sectional Studies Humans ROC Curve Male Middle Aged Emotions Case-Control Studies Parkinson Disease Surveys and Questionnaires
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Body Mass Index Variable Interpolation to Expand the Utility of Real-world Administrative Healthcare Claims Database Analyses.

Advances in therapy Jan 11, 2021
INTRODUCTION: Administrative claims data provide an important source for real-world evidence (RWE) generation, but incomplete reporting, such as for body mass index (BMI), limits the sample sizes that can be analyzed to address certain research quest...
Humans Body Mass Index Machine Learning Databases, Factual ROC Curve Algorithms Delivery of Health Care
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Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.

American journal of ophthalmology Jan 8, 2021
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Intravitreal Injections Recombinant Fusion Proteins Ranibizumab Wet Macular Degeneration Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Geographic Atrophy Receptors, Vascular Endothelial Growth Factor Retinal Drusen Choroidal Neovascularization Sensitivity and Specificity Male Middle Aged Angiogenesis Inhibitors Models, Statistical Deep Learning ROC Curve Female Aged Aged, 80 and over Humans Neural Networks, Computer
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Supervised machine learning for automated classification of human Wharton's Jelly cells and mechanosensory hair cells.

PloS one Jan 8, 2021
Tissue engineering and gene therapy strategies offer new ways to repair permanent damage to mechanosensory hair cells (MHCs) by differentiating human Wharton's Jelly cells (HWJCs). Conventionally, these strategies require the classification of each c...
Area Under Curve Mesenchymal Stem Cells Automation Hair Cells, Auditory Machine Learning ROC Curve Logistic Models Humans
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Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.

Chinese medical journal Jan 7, 2021
BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, ad...
Area Under Curve Breast Humans Deep Learning Sensitivity and Specificity China Breast Neoplasms ROC Curve
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Predicting Age From Optical Coherence Tomography Scans With Deep Learning.

Translational vision science & technology Jan 7, 2021
PURPOSE: To assess whether age can be predicted from deep learning analysis of peripapillary spectral-domain optical coherence tomography (SD-OCT) B-scans and to determine the importance of specific retinal areas on the predictions.
ROC Curve Humans Tomography, Optical Coherence Deep Learning Neural Networks, Computer Child, Preschool Algorithms
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Convolutional Neural Networks for Pediatric Refractory Epilepsy Classification Using Resting-State Functional Magnetic Resonance Imaging.

World neurosurgery Jan 6, 2021
OBJECTIVE: This study aims to evaluate the performance of convolutional neural networks (CNNs) trained with resting-state functional magnetic resonance imaging (rfMRI) latency data in the classification of patients with pediatric epilepsy from health...
Humans Neural Networks, Computer Brain ROC Curve Magnetic Resonance Imaging Area Under Curve Functional Neuroimaging Drug Resistant Epilepsy Adolescent Rest Female Child Neural Pathways Male Case-Control Studies
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Melanoma diagnosis using deep learning techniques on dermatoscopic images.

BMC medical imaging Jan 6, 2021
BACKGROUND: Melanoma has become more widespread over the past 30 years and early detection is a major factor in reducing mortality rates associated with this type of skin cancer. Therefore, having access to an automatic, reliable system that is able ...
Dermoscopy Humans ROC Curve Melanoma Image Interpretation, Computer-Assisted Skin Neoplasms Deep Learning
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