AIMC Topic: Humans

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Formation Generation for Multiple Unmanned Vehicles Using Multi-Agent Hybrid Social Cognitive Optimization Based on the Internet of Things.

Sensors (Basel, Switzerland) Apr 2, 2019
Multi-agent hybrid social cognitive optimization (MAHSCO) based on the Internet of Things (IoT) is suggested to solve the problem of the generation of formations of unmanned vehicles. Through the analysis of the unmanned vehicle formation problem, fo...
Motor Vehicles Computer Simulation Social Media Robotics Aircraft Internet Automobile Driving Humans Algorithms
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A Stroke Risk Detection: Improving Hybrid Feature Selection Method.

Journal of medical Internet research Apr 2, 2019
BACKGROUND: Stroke is one of the most common diseases that cause mortality. Detecting the risk of stroke for individuals is critical yet challenging because of a large number of risk factors for stroke.
Risk Factors Stroke Humans Machine Learning Algorithms
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Automated feature selection of predictors in electronic medical records data.

Biometrics Apr 2, 2019
The use of Electronic Health Records (EHR) for translational research can be challenging due to difficulty in extracting accurate disease phenotype data. Historically, EHR algorithms for annotating phenotypes have been either rule-based or trained wi...
Supervised Machine Learning Cluster Analysis Natural Language Processing Translational Research, Biomedical Machine Learning Electronic Health Records Algorithms Humans Arthritis, Rheumatoid Phenotype Logistic Models
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Enhancing the Ambient Assisted Living Capabilities with a Mobile Robot.

Computational intelligence and neuroscience Apr 2, 2019
Ambient assisted living (AAL) environments are currently a key focus of interest as an option to assist and monitor disabled and elderly people. These systems can improve their quality of life and personal autonomy by detecting events such as enterin...
Robotics Humans Delivery of Health Care Risk Algorithms Aging Quality of Life
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Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients.

PloS one Apr 2, 2019
OBJECTIVES: We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients' phenotypes, independent of existing diagnoses (unsupe...
Cluster Analysis Humans Vision Disorders Artificial Intelligence Headache Male Post-Concussion Syndrome Retrospective Studies Brain Concussion Female Postural Balance Neuropsychological Tests Diagnosis, Computer-Assisted Vestibule, Labyrinth Dizziness Sports Young Adult Adolescent Vestibular Diseases Adult
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Dosimetric study on learning-based cone-beam CT correction in adaptive radiation therapy.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Apr 1, 2019
INTRODUCTION: Cone-beam CT (CBCT) image quality is important for its quantitative analysis in adaptive radiation therapy. However, due to severe artifacts, the CBCTs are primarily used for verifying patient setup only so far. We have developed a lear...
Organs at Risk Radiotherapy Planning, Computer-Assisted Quality Improvement Humans Cone-Beam Computed Tomography Machine Learning Decision Trees Retrospective Studies Radiotherapy Dosage Pelvis Brain Neoplasms Radiosurgery Radiometry
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Does watching Han Solo or C-3PO similarly influence our language processing?

Psychological research Apr 1, 2019
Several studies have demonstrated that perceiving an action influences the subsequent processing of action verbs. However, which characteristics of the perceived action are truly determinant to enable this influence is still unknown. The current stud...
Language Female Young Adult Humans Photic Stimulation Visual Perception Motion Pictures Male Robotics Semantics
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Convolutional Recurrent Neural Networks for Glucose Prediction.

IEEE journal of biomedical and health informatics Apr 1, 2019
Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and insulin bolus calculators leverage machine learning techniques for pr...
Deep Learning Blood Glucose Insulin Humans Neural Networks, Computer Diabetes Mellitus, Type 1
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Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video.

IEEE journal of biomedical and health informatics Apr 1, 2019
Automatic polyp detection has been shown to be difficult due to various polyp-like structures in the colon and high interclass variations in polyp size, color, shape, and texture. An efficient method should not only have a high correct detection rate...
Algorithms Colonoscopy Colonic Polyps Humans Neural Networks, Computer Video Recording Image Interpretation, Computer-Assisted
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Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data.

IEEE journal of biomedical and health informatics Apr 1, 2019
One of the frontier issues that severely hamper the development of automatic snore sound classification (ASSC) associates to the lack of sufficient supervised training data. To cope with this problem, we propose a novel data augmentation approach bas...
Sleep Apnea, Obstructive Sound Spectrography Snoring Algorithms Signal Processing, Computer-Assisted Supervised Machine Learning Humans
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