Humans
Showing 68531 to 68540 of 95995 articles
Epileptic seizure anticipation and localisation of epileptogenic region using EEG signals.
Journal of medical engineering & technology
May 25, 2018
Electric activity of brain gets disturbed prior to epileptic seizure onset. Early prediction of an upcoming seizure can help to increase effectiveness of antiepileptic drugs. The scalp electroencephalogram signals contain information about the dynami...
A lexicon based method to search for extreme opinions.
PloS one
May 25, 2018
Studies in sentiment analysis and opinion mining have been focused on many aspects related to opinions, namely polarity classification by making use of positive, negative or neutral values. However, most studies have overlooked the identification of ...
Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion.
PloS one
May 25, 2018
This paper presents a robust 3D point cloud registration algorithm based on bidirectional Maximum Correntropy Criterion (MCC). Comparing with traditional registration algorithm based on the mean square error (MSE), using the MCC is superior in dealin...
The effect of a wearable soft-robotic glove on motor function and functional performance of older adults.
Assistive technology : the official journal of RESNA
May 24, 2018
Reduced grip strength, resulting in difficulties in performing daily activities, is a common problem in the population of older adults. Newly developed soft-robotic devices have the potential to support older adults with reduced grip in daily activit...
Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.
Journal of clinical monitoring and computing
May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
(2)
Humans
Hypotension
Neural Networks, Computer
Critical Care
Machine Learning
Sample Size
False Positive Reactions
Software
Bayes Theorem
Databases, Factual
Signal Processing, Computer-Assisted
Prospective Studies
Male
Adolescent
Aged, 80 and over
Middle Aged
Intensive Care Units
Brain Injuries, Traumatic
Diagnosis, Computer-Assisted
Female
Young Adult
Brain Injuries
Pilot Projects
Aged
Adult
Area Under Curve
Sensitivity and Specificity
Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics.
International journal of radiation oncology, biology, physics
May 24, 2018
PURPOSE: Treatment effect or radiation necrosis after stereotactic radiosurgery (SRS) for brain metastases is a common phenomenon often indistinguishable from true progression. Radiomics is an emerging field that promises to improve on conventional i...
Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation.
Neural networks : the official journal of the International Neural Network Society
May 24, 2018
To solve dynamic Sylvester equation in the presence of additive noises, a novel recurrent neural network (NRNN) with finite-time convergence and excellent robustness is proposed and analyzed in this paper. As compared with the design process of Zhang...
Application of Machine Learning to Predict Dietary Lapses During Weight Loss.
Journal of diabetes science and technology
May 24, 2018
BACKGROUND: Individuals who adhere to dietary guidelines provided during weight loss interventions tend to be more successful with weight control. Any deviation from dietary guidelines can be referred to as a "lapse." There is a growing body of resea...
Anthropogenic activities impact on atmospheric environmental quality in a gas-flaring community: application of fuzzy logic modelling concept.
Environmental science and pollution research international
May 24, 2018
We present a modelling concept for evaluating the impacts of anthropogenic activities suspected to be from gas flaring on the quality of the atmosphere using domestic roof-harvested rainwater (DRHRW) as indicator. We analysed seven metals (Cu, Cd, Pb...
Novel Breast Imaging and Machine Learning: Predicting Breast Lesion Malignancy at Cone-Beam CT Using Machine Learning Techniques.
AJR. American journal of roentgenology
May 24, 2018
OBJECTIVE: The purpose of this study is to evaluate the diagnostic performance of machine learning techniques for malignancy prediction at breast cone-beam CT (CBCT) and to compare them to human readers.
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