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ROC Curve

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Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm.

Clinical cancer research : an official journal of the American Association for Cancer Research Sep 23, 2019
PURPOSE: Patients with 1p/19q codeleted low-grade glioma (LGG) have longer overall survival and better treatment response than patients with 1p/19q intact tumors. Therefore, it is relevant to know the 1p/19q status. To investigate whether the 1p/19q ...
Glioma Magnetic Resonance Imaging Brain Neoplasms Chromosome Deletion Mutation Humans Cytogenetic Analysis Male Isocitrate Dehydrogenase Machine Learning Chromosomes, Human, Pair 1 Middle Aged Chromosomes, Human, Pair 19 ROC Curve Algorithms Female
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Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach.

The American journal of pathology Sep 18, 2019
The application of deep learning for the detection of lymph node metastases on histologic slides has attracted worldwide attention due to its potentially important role in patient treatment and prognosis. Despite this attention, false-positive predic...
Image Processing, Computer-Assisted Lung Neoplasms Lymph Nodes Pathology, Clinical Neoplasm Micrometastasis Humans Algorithms Deep Learning ROC Curve
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Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies.

Journal of translational medicine Sep 18, 2019
BACKGROUND: Wearable smart watches provide large amount of real-time data on the environmental state of the users and are useful to determine risk factors for onset and progression of myopia. We aim to evaluate the efficacy of machine learning algori...
Myopia ROC Curve Support Vector Machine Light Databases as Topic Environment Humans Machine Learning Algorithms
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Injecting and removing suspicious features in breast imaging with CycleGAN: A pilot study of automated adversarial attacks using neural networks on small images.

European journal of radiology Sep 10, 2019
PURPOSE: To train a CycleGAN on downscaled versions of mammographic data to artificially inject or remove suspicious features, and to determine whether these AI-mediated attacks can be detected by radiologists.
Image Interpretation, Computer-Assisted Mammography Breast Neoplasms Area Under Curve Case-Control Studies Radiologists Humans Pilot Projects Breast Neural Networks, Computer ROC Curve Female
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CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept.

Cardiovascular and interventional radiology Sep 5, 2019
INTRODUCTION: To assess the performance of pre-ablation computed tomography texture features of adrenal metastases to predict post-treatment local progression and survival in patients who underwent ablation using machine learning as a prediction tool...
Treatment Outcome Support Vector Machine Adrenal Gland Neoplasms Survival Analysis Middle Aged Disease Progression Pilot Projects ROC Curve Proportional Hazards Models Ablation Techniques Humans Machine Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Female Male
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Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning.

International journal of molecular sciences Sep 5, 2019
In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its sequence, a known reference epitope sequence under specific ...
Epitope Mapping Peptides ROC Curve Structure-Activity Relationship Amino Acid Sequence Humans Machine Learning
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Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.

International journal of computer assisted radiology and surgery Sep 4, 2019
PURPOSE: Incidental aneurysms pose a challenge to physicians who need to decide whether or not to treat them. A statistical model could potentially support such treatment decisions. The aim of this study was to compare a previously developed aneurysm...
ROC Curve Support Vector Machine Models, Statistical Decision Trees Humans Hemodynamics Aneurysm, Ruptured Intracranial Aneurysm
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Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

JAMA network open Sep 4, 2019
IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but...
Humans Machine Learning ROC Curve Leukocyte Count Predictive Value of Tests Hemoglobins Adult Clinical Laboratory Techniques Area Under Curve Retrospective Studies Troponin I Sensitivity and Specificity Glycated Hemoglobin Female Male Hospitalization L-Lactate Dehydrogenase Middle Aged Aged Blood Urea Nitrogen
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Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.

European radiology Sep 2, 2019
OBJECTIVES: The aim of this study was to develop a deep convolutional neural network (DCNN) for the prediction of the METAVIR score using B-mode ultrasonography images.
Algorithms Retrospective Studies Female Reproducibility of Results Ultrasonography ROC Curve Humans Liver Cirrhosis Male Radiologists Middle Aged Elasticity Imaging Techniques Deep Learning Clinical Competence
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Universal artificial intelligence platform for collaborative management of cataracts.

The British journal of ophthalmology Sep 2, 2019
PURPOSE: To establish and validate a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multilevel clinical scenarios and explored an AI-based medical referral pattern to improve collaborative efficien...
Cataract Slit Lamp Microscopy Intersectoral Collaboration Male Middle Aged Adolescent Female ROC Curve Humans Aged Mass Screening Artificial Intelligence Aged, 80 and over Vision Disorders Adult Area Under Curve Cataract Extraction
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