Humans

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Biologically Inspired Intensity and Depth Image Edge Extraction.

IEEE transactions on neural networks and learning systems Feb 20, 2018
In recent years, artificial vision research has moved from focusing on the use of only intensity images to include using depth images, or RGB-D combinations due to the recent development of low-cost depth cameras. However, depth images require a lot ...
Humans Visual Pathways Image Processing, Computer-Assisted Neural Networks, Computer Models, Neurological Neurons Virtual Reality Action Potentials Pattern Recognition, Automated Depth Perception
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Predicting the hearing outcome in sudden sensorineural hearing loss via machine learning models.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery Feb 20, 2018
OBJECTIVE: Sudden sensorineural hearing loss (SSHL) is a multifactorial disorder with high heterogeneity, thus the outcomes vary widely. This study aimed to develop predictive models based on four machine learning methods for SSHL, identifying the be...
Predictive Value of Tests Hearing Loss, Sensorineural Hearing Loss, Sudden Prognosis China Retrospective Studies ROC Curve Female Recovery of Function Humans Machine Learning Adult Male Middle Aged
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Machine learning-based diagnosis of melanoma using macro images.

International journal for numerical methods in biomedical engineering Feb 20, 2018
Cancer bears a poisoning threat to human society. Melanoma, the skin cancer, originates from skin layers and penetrates deep into subcutaneous layers. There exists an extensive research in melanoma diagnosis using dermatoscopic images captured throug...
(2)
Melanoma Support Vector Machine Humans Machine Learning Bayes Theorem Algorithms Image Interpretation, Computer-Assisted
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Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining.

Journal of neuroscience methods Feb 20, 2018
BACKGROUND: Clustering approaches used in functional magnetic resonance imaging (fMRI) research use brain activity to divide the brain into various parcels with some degree of homogeneous characteristics, but choosing the appropriate clustering algor...
Humans Neurosciences Neural Networks, Computer Algorithms Brain Brain Mapping Magnetic Resonance Imaging Image Processing, Computer-Assisted Signal Processing, Computer-Assisted Cluster Analysis Data Mining Unsupervised Machine Learning
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Statistical and machine learning approaches to predicting protein-ligand interactions.

Current opinion in structural biology Feb 20, 2018
Data driven computational approaches to predicting protein-ligand binding are currently achieving unprecedented levels of accuracy on held-out test datasets. Up until now, however, this has not led to corresponding breakthroughs in our ability to des...
Algorithms Protein Binding Computational Biology Humans Machine Learning Quantitative Structure-Activity Relationship Models, Statistical Proteins Ligands
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Predictive Models Control of the Artificial Pancreas: Compartmental or Neural Networks Models?

Artificial organs Feb 20, 2018
Pancreas, Artificial Diabetes Mellitus Glucose Models, Biological Humans Neural Networks, Computer
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Machine learning for the meta-analyses of microbial pathogens' volatile signatures.

Scientific reports Feb 20, 2018
Non-invasive and fast diagnostic tools based on volatolomics hold great promise in the control of infectious diseases. However, the tools to identify microbial volatile organic compounds (VOCs) discriminating between human pathogens are still missing...
Biological Factors Humans Machine Learning Volatile Organic Compounds Communicable Diseases Chemistry Techniques, Analytical Metabolomics
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Human arm joints reconstruction algorithm in rehabilitation therapies assisted by end-effector robotic devices.

Journal of neuroengineering and rehabilitation Feb 20, 2018
BACKGROUND: End-effector robots are commonly used in robot-assisted neuro-rehabilitation therapies for upper limbs where the patient's hand can be easily attached to a splint. Nevertheless, they are not able to estimate and control the kinematic conf...
Range of Motion, Articular Shoulder Joint Upper Extremity Robotics Elbow Joint Arm Stroke Rehabilitation Humans Algorithms Female Biomechanical Phenomena Male
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Reviewing Clinical Effectiveness of Active Training Strategies of Platform-Based Ankle Rehabilitation Robots.

Journal of healthcare engineering Feb 20, 2018
OBJECTIVE: This review aims to provide a systematical investigation of clinical effectiveness of active training strategies applied in platform-based ankle robots.
Ankle Humans Exoskeleton Device Robotics Physical Therapy Modalities Ankle Injuries
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Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing.

IEEE transactions on bio-medical engineering Feb 19, 2018
OBJECTIVE: The aim of this research was to develop a swallowing assessment method to help prevent aspiration pneumonia. The method uses simple sensors to monitor swallowing function during an individual's daily life.
Larynx Humans Respiration Middle Aged Machine Learning Deglutition Disorders Monitoring, Physiologic Deglutition Signal Processing, Computer-Assisted Young Adult Female Adult Aged Male Aged, 80 and over
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