AIMC Topic: Humans

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Deep Analysis of Mitochondria and Cell Health Using Machine Learning.

Scientific reports Nov 5, 2018
There is a critical need for better analytical methods to study mitochondria in normal and diseased states. Mitochondrial image analysis is typically done on still images using slow manual methods or automated methods of limited types of features. Mi...
Humans Machine Learning Phenotype Movement Supervised Machine Learning Selenium Mitochondria Computational Biology Stress, Physiological A549 Cells
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Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach.

Translational psychiatry Nov 5, 2018
Many variables have been linked to different course trajectories of depression. These findings, however, are based on group comparisons with unknown translational value. This study evaluated the prognostic value of a wide range of clinical, psycholog...
Humans Follow-Up Studies Machine Learning Dysthymic Disorder Middle Aged Adult Prognosis Disease Progression Male Female Depressive Disorder, Major
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A Predictive Model for Guillain-Barré Syndrome Based on Ensemble Methods.

Computational intelligence and neuroscience Nov 5, 2018
Nowadays, Machine Learning methods have proven to be highly effective on the identification of various types of diseases, in the form of predictive models. Guillain-Barré syndrome (GBS) is a potentially fatal autoimmune neurological disorder that has...
Humans Guillain-Barre Syndrome Machine Learning Algorithms Female Data Mining Decision Support Systems, Clinical Sensitivity and Specificity Statistics, Nonparametric Predictive Value of Tests Male
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A Novel Classification and Identification Scheme of Emitter Signals Based on Ward's Clustering and Probabilistic Neural Networks with Correlation Analysis.

Computational intelligence and neuroscience Nov 5, 2018
The rapid development of modern communication technology makes the identification of emitter signals more complicated. Based on Ward's clustering and probabilistic neural networks method with correlation analysis, an ensemble identification algorithm...
Signal Processing, Computer-Assisted Correlation of Data Algorithms Cluster Analysis Models, Statistical Humans Neural Networks, Computer
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Coarse-to-fine information integration in human vision.

NeuroImage Nov 4, 2018
Coarse-to-fine theories of vision propose that the coarse information carried by the low spatial frequencies (LSF) of visual input guides the integration of finer, high spatial frequency (HSF) detail. Whether and how LSF modulates HSF processing in n...
Evoked Potentials Visual Perception Facial Recognition Adult Support Vector Machine Humans Pattern Recognition, Automated Female Male Electroencephalography Time Factors Cerebral Cortex Young Adult
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Sensor Information Fusion by Integrated AI to Control Public Emotion in a Cyber-Physical Environment.

Sensors (Basel, Switzerland) Nov 4, 2018
The cyber-physical system (CPS) is a next-generation smart system that combines computing with physical space. It has been applied in various fields because the uncertainty of the physical world can be ideally controlled using cyber technology. In te...
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Artificial Intelligence Algorithms Female Male Humans Environment Models, Theoretical Emotions Internet
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Unity and diversity in working memory load: Evidence for the separability of the executive functions updating and inhibition using machine learning.

Biological psychology Nov 4, 2018
OBJECTIVE: According to current theoretical models of working memory (WM), executive functions (EFs) like updating, inhibition and shifting play an important role in WM functioning. The models state that EFs highly correlate with each other but also ...
Inhibition, Psychological Executive Function Adult Male Support Vector Machine Psychomotor Performance Humans Cerebral Cortex Electroencephalography Female Memory, Short-Term Young Adult
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Social robots to support children's well-being under medical treatment: A systematic state-of-the-art review.

Journal of child health care : for professionals working with children in the hospital and community Nov 3, 2018
Hospitalization is a stressful experience for children. Socially assistive robots (SARs), designed to interact with humans, might be a means to mitigate a child's stress and support its well-being. A systematic state-of-the-art review was performed t...
Humans Hospitalization Inpatients Communication Robotics Family Child Child Welfare Emotions
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The association between serum uric acid to creatinine ratio and renal disease progression in type 2 diabetic patients in Chinese communities.

Journal of diabetes and its complications Nov 3, 2018
AIMS: Serum uric acid (UA) increases in patients with kidney disease due to the impaired UA clearance. The present study sought to evaluate the association between UA/creatinine ratio (UA/Cr) and renal disease progression in patients with type 2 diab...
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Middle Aged Longitudinal Studies Diabetic Nephropathies Disease Progression Aged China Renal Insufficiency, Chronic Humans Uric Acid Adult Case-Control Studies Retrospective Studies Creatinine Diabetes Mellitus, Type 2 Male Female
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Deep Learning-Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic Performance.

Ophthalmology. Retina Nov 3, 2018
TOPIC: Diagnostic performance of deep learning-based algorithms in screening patients with diabetes for diabetic retinopathy (DR). The algorithms were compared with the current gold standard of classification by human specialists.
Humans Machine Learning Algorithms Diabetic Retinopathy Neural Networks, Computer Diagnostic Techniques, Ophthalmological Deep Learning ROC Curve Mass Screening
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