Humans

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Health Care Robotics: Qualitative Exploration of Key Challenges and Future Directions.

Journal of medical Internet research Jul 4, 2018
BACKGROUND: The emergence of robotics is transforming industries around the world. Robot technologies are evolving exponentially, particularly as they converge with other functionalities such as artificial intelligence to learn from their environment...
Humans Forecasting Delivery of Health Care Female Male Robotics
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The effects of error-augmentation versus error-reduction paradigms in robotic therapy to enhance upper extremity performance and recovery post-stroke: a systematic review.

Journal of neuroengineering and rehabilitation Jul 4, 2018
Despite upper extremity function playing a crucial role in maintaining one's independence in activities of daily living, upper extremity impairments remain one of the most prevalent post-stroke deficits. To enhance the upper extremity motor recovery ...
Stroke Rehabilitation Exercise Therapy Activities of Daily Living Upper Extremity Female Aged Male Recovery of Function Robotics Stroke Humans
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Presentation and diagnosis of patients with type 3 von Willebrand disease in resources-limited laboratory.

Hematology/oncology and stem cell therapy Jul 3, 2018
Von Willebrand disease (VWD) is a bleeding disorder that results from decreased von Willebrand factor (VWF) activity <0.30 iu/mL. Therefore, the diagnosis of type 3 VWD in patients with bleeding requires finding a VWF:Ag and/or VWF:platelet ristoceti...
(1)
Bleeding Time Infant von Willebrand Disease, Type 3 Infant, Newborn Adolescent von Willebrand Factor Adult Cohort Studies Humans Male Female Child, Preschool Child Blood Coagulation Tests
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Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks.

IEEE journal of biomedical and health informatics Jul 3, 2018
The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis. By learning cell-level visual representation, we can obtain a rich mix of features that are highly reusable for var...
(1)
Histological Techniques Bone Marrow Diseases Image Processing, Computer-Assisted Unsupervised Machine Learning Bone Marrow Cells Humans Algorithms
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RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation.

IEEE journal of biomedical and health informatics Jul 3, 2018
The level set based deformable models (LDM) are commonly used for medical image segmentation. However, they rely on a handcrafted curve evolution velocity that needs to be adapted for each segmentation task. The Convolutional Neural Networks (CNN) ad...
Deep Learning Retina Heart Atria Image Interpretation, Computer-Assisted Cell Nucleus Humans
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Learning to activate logic rules for textual reasoning.

Neural networks : the official journal of the International Neural Network Society Jul 3, 2018
Most current textual reasoning models cannotlearn human-like reasoning process, and thus lack interpretability and logical accuracy. To help address this issue, we propose a novel reasoning model which learns to activate logic rules explicitly via de...
Humans Artificial Intelligence Learning Problem Solving Decision Making Logic Memory
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Using a deep learning network to recognise low back pain in static standing.

Ergonomics Jul 3, 2018
Low back pain (LBP) remains one of the most prevalent musculoskeletal disorders, while algorithms that able to recognise LBP patients from healthy population using balance performance data are rarely seen. In this study, human balance and body sway p...
Case-Control Studies Deep Learning Standing Position ROC Curve Humans Ergonomics Feasibility Studies Biomechanical Phenomena Electromagnetic Phenomena Male Motion Middle Aged Low Back Pain
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Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0.

Sensors (Basel, Switzerland) Jul 3, 2018
According to the Industry 4.0 paradigm, all objects in a factory, including people, are equipped with communication capabilities and integrated into cyber-physical systems (CPS). Human activity recognition (HAR) based on wearable sensors provides a m...
Adult Male Deep Learning Wearable Electronic Devices Acceleration Human Activities Humans Female
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Image set for deep learning: field images of maize annotated with disease symptoms.

BMC research notes Jul 3, 2018
OBJECTIVES: Automated detection and quantification of plant diseases would enable more rapid gains in plant breeding and faster scouting of farmers' fields. However, it is difficult for a simple algorithm to distinguish between the target disease and...
Zea mays Plant Diseases Data Curation Humans Algorithms Deep Learning Plant Breeding
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Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data.

BMC emergency medicine Jul 3, 2018
BACKGROUND: The use of big data and machine learning within clinical decision support systems (CDSSs) has the potential to transform medicine through better prognosis, diagnosis and automation of tasks. Real-time application of machine learning algor...
Electronic Health Records Female Reproducibility of Results Humans Machine Learning Age Factors Emergency Service, Hospital Documentation Vital Signs Racial Groups Risk Factors Male Severity of Illness Index Middle Aged Time Factors Decision Support Systems, Clinical
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