AIMC Topic:
ROC Curve

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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 Machine Learning Algorithms Body Mass Index Delivery of Health Care Databases, Factual ROC Curve
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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).
Deep Learning ROC Curve Angiogenesis Inhibitors Models, Statistical Visual Acuity Retinal Drusen Tomography, Optical Coherence Choroidal Neovascularization Humans Sensitivity and Specificity Geographic Atrophy Male Ranibizumab Neural Networks, Computer Middle Aged Female Vascular Endothelial Growth Factor A Wet Macular Degeneration Intravitreal Injections Aged Receptors, Vascular Endothelial Growth Factor Recombinant Fusion Proteins Aged, 80 and over
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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 Machine Learning ROC Curve Logistic Models Hair Cells, Auditory 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 Deep Learning Humans Breast China Sensitivity and Specificity ROC Curve Breast Neoplasms
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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.
Child, Preschool ROC Curve Tomography, Optical Coherence Neural Networks, Computer Algorithms Deep Learning Humans
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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...
Adolescent Magnetic Resonance Imaging Area Under Curve Child Rest ROC Curve Brain Neural Pathways Male Female Drug Resistant Epilepsy Case-Control Studies Humans Functional Neuroimaging Neural Networks, Computer
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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 ...
Deep Learning ROC Curve Image Interpretation, Computer-Assisted Humans Melanoma Skin Neoplasms Dermoscopy
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Prediction of implementing ISO 14031 guidelines using a multilayer perceptron neural network approach.

PloS one Jan 6, 2021
The purpose of this study was to model the link between the implementation of ISO 14031 and ISO 14001. This study connects ISO 14031's guidelines as independent variables to a dependent variable expressed by the ISO 14001 certification situation of i...
Neural Networks, Computer Organizations ROC Curve Area Under Curve Guidelines as Topic
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Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes.

Journal of medical systems Jan 4, 2021
Deep neural network models are emerging as an important method in healthcare delivery, following the recent success in other domains such as image recognition. Due to the multiple non-linear inner transformations, deep neural networks are viewed by m...
Neural Networks, Computer Algorithms ROC Curve Logistic Models Humans
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Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.

Theranostics Jan 1, 2021
Artificial intelligence can facilitate clinical decision making by considering massive amounts of medical imaging data. Various algorithms have been implemented for different clinical applications. Accurate diagnosis and treatment require reliable an...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Algorithms Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Deep Learning ROC Curve Image Processing, Computer-Assisted Adult Male Middle Aged
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