AIMC Topic: Humans
Showing 66571 to 66580 of 95995 articles
Learning-based CBCT correction using alternating random forest based on auto-context model.
Medical physics
Dec 11, 2018
PURPOSE: Quantitative Cone Beam CT (CBCT) imaging is increasing in demand for precise image-guided radiotherapy because it provides a foundation for advanced image-guided techniques, including accurate treatment setup, online tumor delineation, and p...
Toward Standardizing the Classification of Robotic Gait Rehabilitation Systems.
IEEE reviews in biomedical engineering
Dec 11, 2018
With the existence of numerous rehabilitation systems, classification and comparison becomes difficult, especially due to the many factors involved. Moreover, most current reviews are descriptive and do not provide systematic methods for the visual c...
SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.
PLoS computational biology
Dec 11, 2018
LncRNA-protein interactions play important roles in post-transcriptional gene regulation, poly-adenylation, splicing and translation. Identification of lncRNA-protein interactions helps to understand lncRNA-related activities. Existing computational ...
Distributed Repetitive Learning Control for Cooperative Cadence Tracking in Functional Electrical Stimulation Cycling.
IEEE transactions on cybernetics
Dec 10, 2018
Closed-loop control of functional electrical stimulation coupled with motorized assistance to induce cycling is a rehabilitative strategy that can improve the mobility of people with neurological conditions (NCs). However, robust control methods, whi...
Probiotic and selenium co-supplementation, and the effects on clinical, metabolic and genetic status in Alzheimer's disease: A randomized, double-blind, controlled trial.
Clinical nutrition (Edinburgh, Scotland)
Dec 10, 2018
BACKGROUND AND AIMS: Combined probiotic and selenium supplementation may improve Alzheimer's disease (AD) by correcting metabolic abnormalities, and attenuating inflammation and oxidative stress. This study aimed to determine the effects of probiotic...
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks.
IEEE journal of biomedical and health informatics
Dec 10, 2018
Sleep apnea is one of the most common sleep disorders and the consequences of undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to heart failure. However, many people are often unaware of their condition. The gold stan...
Synthesis and characterization of Zinc oxide nanoparticles utilizing seed source of Ricinus communis and study of its antioxidant, antifungal and anticancer activity.
Materials science & engineering. C, Materials for biological applications
Dec 10, 2018
ZnO nanoparticles have been synthesized using solution combustion technique and its antioxidant, antifungal, anticancer activity was studied. Ricinus communis plant seed extract used as fuel in synthesis by the solution combustion technique. Powder X...
Seeds
Penicillium
Cell Survival
Ricinus
Particle Size
Humans
Cell Line, Tumor
Antineoplastic Agents
Aspergillus
Antioxidants
X-Ray Diffraction
Microbial Sensitivity Tests
Antifungal Agents
Plant Extracts
Green Chemistry Technology
Metal Nanoparticles
Spectroscopy, Fourier Transform Infrared
Microscopy, Electron, Transmission
Zinc Oxide
A novel approach to predicting human ingress motion using an artificial neural network.
Journal of biomechanics
Dec 10, 2018
Due to the increased availability of digital human models, the need for knowing human movement is important in product design process. If the human motion is derived rapidly as design parameters change, a developer could determine the optimal paramet...
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.
International journal of medical informatics
Dec 10, 2018
PURPOSE: Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. To improve short- and long-term outcomes, it is critical to detect at-risk sepsis patients at an early stage.
Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem.
European journal of epidemiology
Dec 10, 2018
We developed algorithms to identify pregnant women with suicidal behavior using information extracted from clinical notes by natural language processing (NLP) in electronic medical records. Using both codified data and NLP applied to unstructured cli...
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