AIMC Topic: Cross-Sectional Studies
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Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China.
BioMed research international
Oct 3, 2018
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases. Machine learning techniques were introduced to evaluate the optimal predictive clinical model of NAFLD.
A wearable hip-assist robot reduces the cardiopulmonary metabolic energy expenditure during stair ascent in elderly adults: a pilot cross-sectional study.
BMC geriatrics
Sep 29, 2018
BACKGROUND: Stair ascent is one of the most important and challenging activities of daily living to maintain mobility and independence in elderly adults. Recently, various types of wearable walking assist robots have been developed to improve gait fu...
The application of artificial intelligence to understand the pathophysiological basis of psychogenic nonepileptic seizures.
Epilepsy & behavior : E&B
Sep 28, 2018
Psychogenic nonepileptic seizures (PNES) are episodes of paroxysmal impairment associated with a range of motor, sensory, and mental manifestations, which perfectly mimic epileptic seizures. Several patterns of neural abnormalities have been describe...
Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data.
Journal of magnetic resonance imaging : JMRI
Sep 25, 2018
BACKGROUND: A current challenge in osteoporosis is identifying patients at risk of bone fracture.
Comfort and Attitudes Towards Robots Among Young, Middle-Aged, and Older Adults: A Cross-Sectional Study.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Sep 19, 2018
PURPOSE: To explore the social impact of, comfort with, and negative attitudes towards robots among young, middle-aged, and older adults in the United States.
Triglycerides and glucose index as an insulin resistance marker in a sample of healthy adults.
Diabetes & metabolic syndrome
Sep 12, 2018
AIM: To assess the association between elevated triglycerides/glucose index (TGI) and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in a sample of healthy adults.
A Novel Method of Segmentation and Classification for Meditation in Health Care Systems.
Journal of medical systems
Sep 11, 2018
Meditation improves positivity in behavioral as well as psychological changes, which are brought elucidated by knowing neuro-physiological consequences of meditation. In the field of cognitive science, neuroscience and physiological research, Electro...
Association between vitamin D deficiency and insulin resistance markers in euthyroid non-diabetic individuals.
Diabetes & metabolic syndrome
Sep 8, 2018
AIM: To evaluate the association between vitamin D deficiency and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in euthyroid non-diabetic individuals.
Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.
Asian journal of psychiatry
Aug 18, 2018
OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married patients with gynecological malignancies in China and then explores factors related to anxiety and depression.
Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study.
Journal of magnetic resonance imaging : JMRI
Aug 5, 2018
BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood-brain barrier, neuronal damage, and arterial stiffness, thus affecting cerebral metabolism and perfusion. There is a need to implement machine-learning methodolog...
Perfusion
Cognition Disorders
Linear Models
Insulin Resistance
Longitudinal Studies
Magnetic Resonance Imaging
Brain Mapping
Female
Aged
Aged, 80 and over
Cross-Sectional Studies
Male
Middle Aged
Humans
Severity of Illness Index
Machine Learning
Pilot Projects
Prospective Studies
Diabetes Mellitus, Type 2
Brain
Imaging, Three-Dimensional
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