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Discovery of phenotypic networks from genotypic association studies with application to obesity.

International journal of data mining and bioinformatics Jan 1, 2015
Genome-wide Association Studies (GWAS) have resulted in many discovered risk variants for several obesity-related traits. However, before clinical relevance of these discoveries can be achieved, molecular or physiological mechanisms of these risk var...
Obesity Databases, Nucleic Acid Quantitative Trait, Heritable Humans Artificial Intelligence Algorithms Female Cross-Sectional Studies Male Genome-Wide Association Study Child Polymorphism, Single Nucleotide
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Neural network models - a novel tool for predicting the efficacy of growth hormone (GH) therapy in children with short stature.

Neuro endocrinology letters Jan 1, 2015
INTRODUCTION: The leading method for prediction of growth hormone (GH) therapy effectiveness are multiple linear regression (MLR) models. Best of our knowledge, we are the first to apply artificial neural networks (ANN) to solve this problem. For ANN...
Humans Recombinant Proteins Neural Networks, Computer Outcome Assessment, Health Care Body Height Female Dwarfism Growth Hormone Male Adolescent Human Growth Hormone Child
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Combined effects of transcranial direct current stimulation (tDCS) and transcutaneous spinal direct current stimulation (tsDCS) on robot-assisted gait training in patients with chronic stroke: A pilot, double blind, randomized controlled trial.

Restorative neurology and neuroscience Jan 1, 2015
PURPOSE: Preliminary evidence has shown no additional effects of transcranial direct current stimulation (tDCS) on robotic gait training in chronic stroke, probably due to the neural organization of locomotion involving cortical and spinal control. O...
Transcranial Direct Current Stimulation Humans Transcutaneous Electric Nerve Stimulation Brain Female Aged Double-Blind Method Male Walking Middle Aged Gait Pilot Projects Spinal Cord Treatment Outcome Stroke Rehabilitation Recovery of Function Robotics
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Acute appendicitis diagnosis using artificial neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Artificial neural networks is one of pattern analyzer method which are rapidly applied on a bio-medical field.
Middle Aged Female Severity of Illness Index Humans Young Adult Diagnosis, Computer-Assisted Neural Networks, Computer Acute Disease Adult Adolescent Republic of Korea Appendicitis Sensitivity and Specificity ROC Curve Hospitals, University Male
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Do post-stroke patients benefit from robotic verticalization? A pilot-study focusing on a novel neurophysiological approach.

Restorative neurology and neuroscience Jan 1, 2015
BACKGROUND: Tilt-table equipped with the dynamic foot-support (ERIGO) and the functional electric stimulation could be a safe and suitable device for stabilization of vital signs, increasing patient's motivation for further recovery, decreasing the d...
Humans Female Stroke Brain Ischemia Cerebral Cortex Rehabilitation Centers Physical Therapy Modalities Neuronal Plasticity Aged Stroke Rehabilitation Posture Male Inpatients Pilot Projects Cognition Recovery of Function Treatment Outcome Robotics
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Fuzzy linguistic prediction model for sinoatrial node field potential analysis in acute hyperglycemia environment.

Bio-medical materials and engineering Jan 1, 2015
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sinoatrial node field potential. The field potential was recorded using microelectrode arrays (MEA). The...
Acute Disease Glucose Pattern Recognition, Automated Linguistics Sinoatrial Node Humans Neural Networks, Computer Algorithms Computer Simulation Mice Hyperglycemia Fuzzy Logic Mice, Inbred C57BL Models, Statistical Reproducibility of Results Sensitivity and Specificity Animals Male
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Improved walking ability with wearable robot-assisted training in patients suffering chronic stroke.

Bio-medical materials and engineering Jan 1, 2015
Wearable robotic devices provide safe and intensive rehabilitation, enabling repeated motions for motor function recovery in stroke patients. The aim of this small case series was to demonstrate the training effects of a three-week robotic leg orthos...
Gait Artificial Limbs Therapy, Computer-Assisted Equipment Failure Analysis Orthotic Devices Recovery of Function Robotics Equipment Design Stroke Walking Stroke Rehabilitation Gait Disorders, Neurologic Humans Female Male Middle Aged Treatment Outcome
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Classification of focal liver lesions on ultrasound images by extracting hybrid textural features and using an artificial neural network.

Bio-medical materials and engineering Jan 1, 2015
This paper focuses on the improvement of the diagnostic accuracy of focal liver lesions by quantifying the key features of cysts, hemangiomas, and malignant lesions on ultrasound images. The focal liver lesions were divided into 29 cysts, 37 hemangio...
Algorithms Female Reproducibility of Results Aged Adult Humans Neural Networks, Computer Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Male Middle Aged Ultrasonography Liver Neoplasms
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Nonholonomic mobile system control by combining EEG-based BCI with ANFIS.

Bio-medical materials and engineering Jan 1, 2015
Motor imagery EEG-based BCI has advantages in the assistance of human control of peripheral devices, such as the mobile robot or wheelchair, because the subject is not exposed to any stimulation and suffers no risk of fatigue. However, the intensive ...
Motor Cortex Imagination Adult Male Humans Pattern Recognition, Automated Electrocardiography Neural Networks, Computer Brain-Computer Interfaces Fuzzy Logic Movement Robotics Man-Machine Systems Evoked Potentials, Motor
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Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine.

Journal of Alzheimer's disease : JAD Jan 1, 2015
Alzheimer's disease (AD) is one of the most serious progressive neurodegenerative diseases among the elderly, therefore the identification of conversion to AD at the earlier stage has become a crucial issue. In this study, we applied multimodal suppo...
Female Aged Aged, 80 and over Sensitivity and Specificity Male Humans Databases, Factual Brain Support Vector Machine Aging Magnetic Resonance Imaging Disease Progression Cohort Studies ROC Curve Image Processing, Computer-Assisted Multimodal Imaging Alzheimer Disease Positron-Emission Tomography
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