AIMC Topic: Cognition
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The Influence of Fluid Intake Behavior on Cognition and Mood among College Students in Baoding, China.
Annals of nutrition & metabolism
Mar 29, 2021
INTRODUCTION: Water is a critical nutrient, and it is important for the maintenance of the physiological function of the human body [1 -3 ]. In addition to fluid amounts, f...
Applying a bagging ensemble machine learning approach to predict functional outcome of schizophrenia with clinical symptoms and cognitive functions.
Scientific reports
Mar 25, 2021
It has been suggested that the relationship between cognitive function and functional outcome in schizophrenia is mediated by clinical symptoms, while functional outcome is assessed by the Quality of Life Scale (QLS) and the Global Assessment of Func...
From convolutional neural networks to models of higher-level cognition (and back again).
Annals of the New York Academy of Sciences
Mar 22, 2021
The remarkable successes of convolutional neural networks (CNNs) in modern computer vision are by now well known, and they are increasingly being explored as computational models of the human visual system. In this paper, we ask whether CNNs might al...
Effect of the Information Support Robot on the Daily Activity of Older People Living Alone in Actual Living Environment.
International journal of environmental research and public health
Mar 3, 2021
Information support robots (ISRs) have the potential to assist older people living alone to have an independent life. However, the effects of ISRs on the daily activity, especially the sleep patterns, of older people have not been clarified; moreover...
Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson's Disease.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Feb 24, 2021
OBJECTIVE: A downside of Deep Brain Stimulation (DBS) for Parkinson's Disease (PD) is that cognitive function may deteriorate postoperatively. Electroencephalography (EEG) was explored as biomarker of cognition using a Machine Learning (ML) pipeline.
A Risk Prediction Model Based on Machine Learning for Cognitive Impairment Among Chinese Community-Dwelling Elderly People With Normal Cognition: Development and Validation Study.
Journal of medical Internet research
Feb 24, 2021
BACKGROUND: Identifying cognitive impairment early enough could support timely intervention that may hinder or delay the trajectory of cognitive impairment, thus increasing the chances for successful cognitive aging.
Functional annotation of human cognitive states using deep graph convolution.
NeuroImage
Feb 12, 2021
A key goal in neuroscience is to understand brain mechanisms of cognitive functions. An emerging approach is "brain decoding", which consists of inferring a set of experimental conditions performed by a participant, using pattern classification of br...
Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Feb 8, 2021
As a surrogate for human tactile cognition, an artificial tactile perception and cognition system are proposed to produce smooth/soft and rough tactile sensations by its user's tactile feeling; and named this system as "tactile avatar". A piezoelectr...
Length of hospital stay prediction with an integrated approach of statistical-based fuzzy cognitive maps and artificial neural networks.
Medical & biological engineering & computing
Feb 5, 2021
Chronic obstructive pulmonary disease (COPD) is a global burden, which is estimated to be the third leading cause of death worldwide by 2030. The economic burden of COPD grows continuously because it is not a curable disease. These conditions make CO...
Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach.
Scientific reports
Jan 28, 2021
We aimed to delineate the neuropsychological and psychopathological profiles of children with congenital heart disease (CHD) and look for associations with clinical parameters. We conducted a prospective observational study in children with CHD who u...
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