AIMC Topic: Humans

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Providing Aging Adults Social Robots' Companionship in Home-Based Elder Care.

Journal of healthcare engineering Jun 4, 2019
Population aging is increasingly serious. The application of social robots for home-based elder care is an important way to solve this problem. Aging adults' demands for social robots' companionship affect robotic designs. This study aimed to investi...
Human Activities Male Man-Machine Systems Robotics Humans Aging Feasibility Studies Middle Aged Home Care Services Female Social Isolation Surveys and Questionnaires Interpersonal Relations Aged
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Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics.

IEEE transactions on neural networks and learning systems Jun 3, 2019
In the postgenome era, many problems in bioinformatics have arisen due to the generation of large amounts of imbalanced data. In particular, the computational classification of precursor microRNA (pre-miRNA) involves a high imbalance in the classes. ...
Animals Deep Learning Computational Biology Plants Elasticity Humans Neural Networks, Computer Databases, Factual
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Minimally invasive surgery for deep-infiltrating endometriosis and its impact on fertility: can robotic surgery play a role?

Journal of robotic surgery Jun 3, 2019
Female Colorectal Neoplasms Robotics Humans Minimally Invasive Surgical Procedures Robotic Surgical Procedures Endometriosis Fertility
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Atrophy of cerebellar peduncles in essential tremor: a machine learning-based volumetric analysis.

European radiology Jun 3, 2019
BACKGROUND: Subtle cerebellar signs are frequently observed in essential tremor (ET) and may be associated with cerebellar dysfunction. This study aims to evaluate the macrostructural integrity of the superior, middle, and inferior cerebellar peduncl...
Adult Male Middle Aged Magnetic Resonance Imaging Humans Gray Matter Machine Learning White Matter Female Atrophy Essential Tremor
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Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?

The Journal of arthroplasty Jun 3, 2019
BACKGROUND: Recent advances in machine learning have given rise to deep learning, which uses hierarchical layers to build models, offering the ability to advance value-based healthcare by better predicting patient outcomes and costs of a given treatm...
Female Infant, Newborn Aged Young Adult Humans Orthopedic Procedures Neural Networks, Computer Orthopedics Databases, Factual Deep Learning Adolescent Outcome Assessment, Health Care Child, Preschool Arthroplasty, Replacement, Knee Child ROC Curve Adult New York Lower Extremity Male Arthroplasty, Replacement, Hip Inpatients Middle Aged Infant
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Experimental Design to Systematically Develop a Knowledge Base for Effective Games for Health.

Games for health journal Jun 3, 2019
Humans Health Promotion Knowledge Bases Games, Recreational
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Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Jun 3, 2019
Aspect-level sentiment analysis is a crucial problem in fine-grained sentiment analysis, which aims to automatically predict the sentiment polarity of the specific aspect in its context. Although remarkable progress has been made by deep learning bas...
Humans Machine Learning Models, Neurological Knowledge Linguistics Reinforcement, Psychology
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Real-time accident detection: Coping with imbalanced data.

Accident; analysis and prevention Jun 3, 2019
Detecting accidents is of great importance since they often impose significant delay and inconvenience to road users. This study compares the performance of two popular machine learning models, Support Vector Machine (SVM) and Probabilistic Neural Ne...
Chicago Support Vector Machine Accidents, Traffic Humans Weather Neural Networks, Computer Time Factors
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SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse.

Neuron Jun 3, 2019
Synapses are fundamental information-processing units of the brain, and synaptic dysregulation is central to many brain disorders ("synaptopathies"). However, systematic annotation of synaptic genes and ontology of synaptic processes are currently la...
Knowledge Bases Synapses Gene Ontology Brain Animals Humans Synaptosomes Proteomics Software Synaptic Potentials Databases, Genetic
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Effects of Transcranial Direct Current Stimulation (tDCS) Combined With Wrist Robot-Assisted Rehabilitation on Motor Recovery in Subacute Stroke Patients: A Randomized Controlled Trial.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 3, 2019
Both transcranial direct current stimulation (tDCS) and wrist robot-assisted training have demonstrated to be promising approaches for stroke rehabilitation. However, the effects of the combination of the two treatments in subacute stroke patients ar...
Young Adult Adult Biomechanical Phenomena Male Female Aged Aged, 80 and over Robotics Single-Blind Method Electroencephalography Wrist Middle Aged Adolescent Treatment Outcome Recovery of Function Humans Algorithms Stroke Rehabilitation Transcranial Direct Current Stimulation Combined Modality Therapy Motor Cortex Electrodes Upper Extremity
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