Humans

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High efficiency classification of children with autism spectrum disorder.

PloS one Feb 15, 2018
Autism spectrum disorder (ASD) is a wide-ranging collection of developmental diseases with varying symptoms and degrees of disability. Currently, ASD is diagnosed mainly with psychometric tools, often unable to provide an early and reliable diagnosis...
(1)
Support Vector Machine Humans Biomarkers Autism Spectrum Disorder Least-Squares Analysis Sensitivity and Specificity Child
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Predicting Visual Acuity by Using Machine Learning in Patients Treated for Neovascular Age-Related Macular Degeneration.

Ophthalmology Feb 14, 2018
PURPOSE: To predict, by using machine learning, visual acuity (VA) at 3 and 12 months in patients with neovascular age-related macular degeneration (AMD) after initial upload of 3 anti-vascular endothelial growth factor (VEGF) injections.
Wet Macular Degeneration Choroidal Neovascularization Vascular Endothelial Growth Factor A Intravitreal Injections Male Middle Aged Disease Progression Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Reproducibility of Results Humans Aged Machine Learning Aged, 80 and over Algorithms Databases, Factual Female
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Markovian encoding models in human splice site recognition using SVM.

Computational biology and chemistry Feb 14, 2018
Splice site recognition is among the most significant and challenging tasks in bioinformatics due to its key role in gene annotation. Effective prediction of splice site requires nucleotide encoding methods that reveal the characteristics of DNA sequ...
Support Vector Machine Humans Markov Chains RNA Splice Sites
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Activities suggestion based on emotions in AAL environments.

Artificial intelligence in medicine Feb 14, 2018
The elderly population is increasing and the response of the society was to provide them with services directed to them to cope with their needs. One of the oldest solutions is the retirement home, providing housing and permanent assistance for the e...
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Monitoring, Ambulatory Assisted Living Facilities Self-Help Devices Equipment Design Activities of Daily Living Happiness Boredom Social Workers Artificial Intelligence Homes for the Aged Aging Delivery of Health Care, Integrated Quality of Life Health Services for the Aged Cognition Age Factors Emotions Humans
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On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection.

Sensors (Basel, Switzerland) Feb 14, 2018
In the context of the ageing global population, researchers and scientists have tried to find solutions to many challenges faced by older people. Falls, the leading cause of injury among elderly, are usually severe enough to require immediate medical...
Humans Wearable Electronic Devices Machine Learning Algorithms Accidental Falls
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Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study.

PloS one Feb 14, 2018
In the last decade robotic devices have been applied in rehabilitation to overcome walking disability in neurologic diseases with promising results. Robot assisted gait training (RAGT) using the Lokomat seems not only to improve gait parameters but a...
Humans Pilot Projects Female Rehabilitation Robotics Aged Male Gait Adult Middle Aged
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Machine learning in autistic spectrum disorder behavioral research: A review and ways forward.

Informatics for health & social care Feb 13, 2018
Autistic Spectrum Disorder (ASD) is a mental disorder that retards acquisition of linguistic, communication, cognitive, and social skills and abilities. Despite being diagnosed with ASD, some individuals exhibit outstanding scholastic, non-academic, ...
Humans Machine Learning Research Behavior Algorithms Autism Spectrum Disorder
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Using Dictionary Pair Learning for Seizure Detection.

International journal of neural systems Feb 13, 2018
Automatic seizure detection is extremely important in the monitoring and diagnosis of epilepsy. The paper presents a novel method based on dictionary pair learning (DPL) for seizure detection in the long-term intracranial electroencephalogram (EEG) r...
Humans Electroencephalography Seizures Machine Learning Databases, Factual
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Kidney Detection in 3-D Ultrasound Imagery via Shape-to-Volume Registration Based on Spatially Aligned Neural Network.

IEEE journal of biomedical and health informatics Feb 13, 2018
This paper introduces a computer-aided kidney shape detection method suitable for volumetric (3D) ultrasound images. Using shape and texture priors, the proposed method automates the process of kidney detection, which is a problem of great importance...
Algorithms Adult Humans Imaging, Three-Dimensional Ultrasonography Neural Networks, Computer Kidney
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Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images.

IEEE transactions on medical imaging Feb 13, 2018
Segmentation of brain tumors from magnetic resonance imaging (MRI) data sets is of great importance for improved diagnosis, growth rate prediction, and treatment planning. However, automating this process is challenging due to the presence of severe ...
Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging Algorithms Brain Humans Brain Neoplasms Machine Learning
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