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A novel approach to spinal 3-D kinematic assessment using inertial sensors: Towards effective quantitative evaluation of low back pain in clinical settings.

Computers in biology and medicine Aug 4, 2017
This paper presents a novel approach for evaluating LBP in various settings. The proposed system uses cost-effective inertial sensors, in conjunction with pattern recognition techniques, for identifying sensitive classifiers towards discriminate iden...
(1)
Support Vector Machine Low Back Pain Movement Biomechanical Phenomena Male Middle Aged Humans Adult
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Pre-trained convolutional neural networks as feature extractors for tuberculosis detection.

Computers in biology and medicine Aug 4, 2017
It is estimated that in 2015, approximately 1.8 million people infected by tuberculosis died, most of them in developing countries. Many of those deaths could have been prevented if the disease had been detected at an earlier stage, but the most adva...
Male Humans Tuberculosis, Pulmonary Image Processing, Computer-Assisted Neural Networks, Computer Female
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Memory States and Transitions between Them in Attractor Neural Networks.

Neural computation Aug 4, 2017
Human memory is capable of retrieving similar memories to a just retrieved one. This associative ability is at the base of our everyday processing of information. Current models of memory have not been able to underpin the mechanism that the brain co...
(1)
Neural Networks, Computer Brain Humans Association Models, Neurological Neurons Memory
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A flight-phase terrain following control strategy for stable and robust hopping of a one-legged robot under large terrain variations.

Bioinspiration & biomimetics Aug 4, 2017
This work demonstrates a simple, once per step, flight-control method for robots running on a planar unknown rough-terrain environment. The robot used to exemplify these control strategies is the ParkourBot, a spring loaded inverted pendulum (SLIP)-b...
(2)
Biomechanical Phenomena Animals Running Robotics Equipment Design Locomotion Biomimetics Humans Gait Movement Models, Biological
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Holographic deep learning for rapid optical screening of anthrax spores.

Science advances Aug 4, 2017
Establishing early warning systems for anthrax attacks is crucial in biodefense. Despite numerous studies for decades, the limited sensitivity of conventional biochemical methods essentially requires preprocessing steps and thus has limitations to be...
Spores, Bacterial Holography Bacillus anthracis Anthrax Deep Learning Image Processing, Computer-Assisted Microscopy Machine Learning Data Analysis Algorithms Humans
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A machine learning approach to estimation of downward solar radiation from satellite-derived data products: An application over a semi-arid ecosystem in the U.S.

PloS one Aug 4, 2017
Shortwave solar radiation is an important component of the surface energy balance and provides the principal source of energy for terrestrial ecosystems. This paper presents a machine learning approach in the form of a random forest (RF) model for es...
(1)
Ecosystem Remote Sensing Technology Satellite Imagery Humans United States Solar Energy Satellite Communications Machine Learning Environmental Monitoring Algorithms
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ROBIN, a Telepresence Robot to Support Older Users Monitoring and Social Inclusion: Development and Evaluation.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Aug 3, 2017
INTRODUCTION: This article describes an enhanced telepresence robot named ROBIN, part of a telecare system derived from the GIRAFFPLUS project for supporting and monitoring older adults at home. ROBIN is integrated in a sensor-rich environment that a...
Humans Female Adult Gestures User-Computer Interface Robotics Telemedicine Communication Male Middle Aged Reminder Systems Self-Help Devices Telemetry Social Participation Monitoring, Ambulatory Home Care Services Interpersonal Relations
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An Evaluation of Artificial Neural Networks in Predicting Pancreatic Cancer Survival.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Aug 3, 2017
OBJECTIVE: This study aims to evaluate the development of an artificial neural network (ANN) method for predicting the survival likelihood of pancreatic adenocarcinoma patients. The ANN predictive model should produce results with a 90% sensitivity.
Adenocarcinoma Pancreatic Neoplasms Likelihood Functions Sensitivity and Specificity Male Middle Aged Prospective Studies Female Aged Adult Survival Rate Aged, 80 and over Young Adult Humans Neural Networks, Computer
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Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.

BMC medical informatics and decision making Aug 3, 2017
BACKGROUND: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is...
Risk Reoperation Aortic Aneurysm Humans Neural Networks, Computer Machine Learning Survival Analysis Endovascular Procedures Algorithms Prognosis
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Respiratory signal prediction based on adaptive boosting and multi-layer perceptron neural network.

Physics in medicine and biology Aug 3, 2017
To improve the prediction accuracy of respiratory signals using adaptive boosting and multi-layer perceptron neural network (ADMLP-NN) for gated treatment of moving target in radiation therapy. The respiratory signals acquired using a real-time posit...
Respiration Movement Humans Neural Networks, Computer Neoplasms Algorithms Radiotherapy Planning, Computer-Assisted Retrospective Studies
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