AIMC Topic: Young Adult
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Application of Machine Learning for Predicting Clinically Meaningful Outcome After Arthroscopic Femoroacetabular Impingement Surgery.
The American journal of sports medicine
Dec 23, 2019
BACKGROUND: Hip arthroscopy has become an important tool for surgical treatment of intra-articular hip pathology. Predictive models for clinically meaningful outcomes in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (F...
The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses.
IEEE transactions on haptics
Dec 23, 2019
While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprives the amputee of tactile sensations that are essential for grasp control in able-bodied subjects. Therefore, it is commonly assumed that restoring the...
Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress.
Nutrients
Dec 23, 2019
The feasibility of detecting mild dehydration by using autonomic responses to cognitive stress was studied. To induce cognitive stress, subjects ( = 17) performed the Stroop task, which comprised four minutes of rest and four minutes of test. Nine in...
Prediction of lower-grade glioma molecular subtypes using deep learning.
Journal of neuro-oncology
Dec 21, 2019
INTRODUCTION: It is useful to know the molecular subtype of lower-grade gliomas (LGG) when deciding on a treatment strategy. This study aims to diagnose this preoperatively.
Gender and active travel: a qualitative data synthesis informed by machine learning.
The international journal of behavioral nutrition and physical activity
Dec 21, 2019
BACKGROUND: Innovative approaches are required to move beyond individual approaches to behaviour change and develop more appropriate insights for the complex challenge of increasing population levels of activity. Recent research has drawn on social p...
Ultrasonic liver steatosis quantification by a learning-based acoustic model from a novel shear wave sequence.
Biomedical engineering online
Dec 21, 2019
BACKGROUND: An efficient and accurate approach to quantify the steatosis extent of liver is important for clinical practice. For the purpose, we propose a specific designed ultrasound shear wave sequence to estimate ultrasonic and shear wave physical...
Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients.
Japanese journal of ophthalmology
Dec 17, 2019
PURPOSE: To assess the performance of machine learning classifiers for prediction of progression of normal-tension glaucoma (NTG) in young myopic patients.
Young Adult
Adult
Cross-Sectional Studies
Intraocular Pressure
Male
Humans
Machine Learning
Female
Visual Field Tests
Gonioscopy
Slit Lamp Microscopy
Low Tension Glaucoma
Area Under Curve
Tomography, Optical Coherence
Nerve Fibers
Retinal Ganglion Cells
Visual Fields
Disease Progression
Myopia
Diagnosis, Computer-Assisted
ROC Curve
Deep Learning Classification of Neuro-Emotional Phase Domain Complexity Levels Induced by Affective Video Film Clips.
IEEE journal of biomedical and health informatics
Dec 16, 2019
In the present article, a novel emotional complexity marker is proposed for classification of discrete emotions induced by affective video film clips. Principal Component Analysis (PCA) is applied to full-band specific phase space trajectory matrix (...
Tensors and compositionality in neural systems.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Dec 16, 2019
Neither neurobiological nor process models of meaning composition specify the operator through which constituent parts are bound together into compositional structures. In this paper, we argue that a neurophysiological computation system cannot achie...
Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning.
Neural plasticity
Dec 13, 2019
According to previous studies, many neuroanatomical alterations have been detected in patients with tinnitus. However, the results of these studies have been inconsistent. The objective of this study was to explore the cortical/subcortical morphologi...
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