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Comparison of Two Endovascular Steerable Robotic Catheters for Percutaneous Robot-Assisted Fibroid Embolization.

Cardiovascular and interventional radiology
PURPOSE: To compare outcomes of percutaneous robot-assisted uterine fibroid embolization (UFE) using two different endovascular robotic catheters.

Predicting posttraumatic stress disorder following a natural disaster.

Journal of psychiatric research
Earthquakes are a common and deadly natural disaster, with roughly one-quarter of survivors subsequently developing posttraumatic stress disorder (PTSD). Despite progress identifying risk factors, limited research has examined how to combine variable...
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Mesoporous carbon nanomaterials induced pulmonary surfactant inhibition, cytotoxicity, inflammation and lung fibrosis.

Journal of environmental sciences (China)
Environmental exposure and health risk upon engineered nanomaterials are increasingly concerned. The family of mesoporous carbon nanomaterials (MCNs) is a rising star in nanotechnology for multidisciplinary research with versatile applications in ele...
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Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden o...

Computer-assisted cytologic diagnosis in pancreatic FNA: An application of neural networks to image analysis.

Cancer cytopathology
BACKGROUND: Fine-needle aspiration (FNA) biopsy is an accurate method for the diagnosis of solid pancreatic masses. However, a significant number of cases still pose a diagnostic challenge. The authors have attempted to design a computer model to aid...

Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort.

Computers in biology and medicine
The morphometric characteristics of the retinal vasculature are associated with future risk of many systemic and vascular diseases. However, analysis of data from large population based studies is needed to help resolve uncertainties in some of these...
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[Evaluation of equations using cystatin C for estimation of the glomerular filtration rate in healthy adult population of canidates for kidney donors.].

Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina)
The determination of the glomerular filtration rate (GFR) is critical for the selection of potential kidney donors. Methods of measurement of GFR are impractical and complex, which led to development of equations to estimate GFR. Objective: To evalua...

A Novel Energy-Efficient Approach for Human Activity Recognition.

Sensors (Basel, Switzerland)
In this paper, we propose a novel energy-efficient approach for mobile activity recognition system (ARS) to detect human activities. The proposed energy-efficient ARS, using low sampling rates, can achieve high recognition accuracy and low energy con...

Optimisation of a machine learning algorithm in human locomotion using principal component and discriminant function analyses.

PloS one
Assessment methods in human locomotion often involve the description of normalised graphical profiles and/or the extraction of discrete variables. Whilst useful, these approaches may not represent the full complexity of gait data. Multivariate statis...

Sharable and Individual Multi-View Metric Learning.

IEEE transactions on pattern analysis and machine intelligence
This paper presents a sharable and individual multi-view metric learning (MvML) approach for visual recognition. Unlike conventional metric leaning methods which learn a distance metric on either a single type of feature representation or a concatena...
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