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Showing 67621 to 67630 of 95995 articles
Universal method for robust detection of circadian state from gene expression.
Proceedings of the National Academy of Sciences of the United States of America
Sep 10, 2018
Circadian clocks play a key role in regulating a vast array of biological processes, with significant implications for human health. Accurate assessment of physiological time using transcriptional biomarkers found in human blood can significantly imp...
Linked open data-based framework for automatic biomedical ontology generation.
BMC bioinformatics
Sep 10, 2018
BACKGROUND: Fulfilling the vision of Semantic Web requires an accurate data model for organizing knowledge and sharing common understanding of the domain. Fitting this description, ontologies are the cornerstones of Semantic Web and can be used to so...
Views of nurses and other health and social care workers on the use of assistive humanoid and animal-like robots in health and social care: a scoping review.
Contemporary nurse
Sep 10, 2018
BACKGROUND: Robots are introduced in many health and social care settings.
Social Robots for Depression in Older Adults: A Systematic Review.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Sep 9, 2018
PURPOSE: In recent years, there has been an increase in the number of studies using social robots to improve psychological well-being. This systematic review investigates the effect of social robot interventions for depression in older adults.
Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease.
Magnetic resonance in medicine
Sep 8, 2018
PURPOSE: Real-time assessment of ventricular volumes requires high acceleration factors. Residual convolutional neural networks (CNN) have shown potential for removing artifacts caused by data undersampling. In this study, we investigated the ability...
(1)
Algorithms
Retrospective Studies
Young Adult
Adult
Humans
Artifacts
Respiration
Heart Defects, Congenital
Magnetic Resonance Imaging, Cine
Cardiac-Gated Imaging Techniques
Fourier Analysis
Breath Holding
Adolescent
Image Processing, Computer-Assisted
Heart
Image Interpretation, Computer-Assisted
Male
Middle Aged
Deep Learning
Association between vitamin D deficiency and insulin resistance markers in euthyroid non-diabetic individuals.
Diabetes & metabolic syndrome
Sep 8, 2018
AIM: To evaluate the association between vitamin D deficiency and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in euthyroid non-diabetic individuals.
A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis.
Neural networks : the official journal of the International Neural Network Society
Sep 8, 2018
In this paper a novel training technique is proposed to offer an efficient solution for neural network training in non-trivial and critical applications such as the diagnosis of health threatening illness. The presented technique aims to enhance the ...
Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 7, 2018
BACKGROUND: Gastrostomy placement after intracerebral hemorrhage indicates the need for continued medical care and predicts patient dependence. Our objective was to determine the optimal machine learning technique to predict gastrostomy.
Prediction of postoperative disease-free survival and brain metastasis for HER2-positive breast cancer patients treated with neoadjuvant chemotherapy plus trastuzumab using a machine learning algorithm.
Breast cancer research and treatment
Sep 7, 2018
PURPOSE: This study aimed to develop mathematical tools to predict the likelihood of recurrence after neoadjuvant chemotherapy (NAC) plus trastuzumab in patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer.
Evaluation of Artificial Intelligence-Based Grading of Diabetic Retinopathy in Primary Care.
JAMA network open
Sep 7, 2018
IMPORTANCE: There has been wide interest in using artificial intelligence (AI)-based grading of retinal images to identify diabetic retinopathy, but such a system has never been deployed and evaluated in clinical practice.
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