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Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation.
JMIR medical informatics
Nov 22, 2024
BACKGROUND: Atrial fibrillation (AF) is a progressive disease, and its clinical type is classified according to the AF duration: paroxysmal AF, persistent AF (PeAF; AF duration of less than 1 year), and long-standing persistent AF (AF duration of mor...
Reproducing the caress gesture with an anthropomorphic robot: a feasibility study.
Bioinspiration & biomimetics
Nov 22, 2024
Social robots have been widely used to deliver emotional, cognitive and social support to humans. The exchange of affective gestures, instead, has been explored to a lesser extent, despite phyisical interaction with social robots could provide the sa...
The use of machine learning to understand the role of visual attention in multi-attribute choice.
Acta psychologica
Nov 22, 2024
Whether eye movements (as a measure of visual attention) contribute to the understanding of how multi-attribute decisions are made, is still a matter of debate. In this study, we show how machine learning methods can be used to separate the effects o...
Classifying age from medial clavicle using a 30-year threshold: An image analysis based approach.
PloS one
Nov 22, 2024
This study aimed to develop image-analysis-based classification models for distinguishing individuals younger and older than 30 using the medial clavicle. We extracted 2D images of the medial clavicle from multi-slice computed tomography (MSCT) scans...
Features influencing surface acting of different clusters of nursing students in vocational college based on interpretable machine learning: A cross-sectional study.
Nurse education in practice
Nov 21, 2024
AIM: To explore and explain the mechanisms that influence surface acting in nursing students with different characteristics.
Evolution of Linguistic Markers of Agency, Centrality and Content During Metacognitive Therapy for Psychosis: A Pilot Exploratory Study.
Early intervention in psychiatry
Nov 21, 2024
AIM: Metacognitive Reflection and Insight Therapy (MERIT) is a form of person-centred psychotherapy that promotes recovery-oriented outcomes by targeting metacognitive capacity. Previous research has shown the feasibility and clinical benefits of MER...
Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural Networks.
IEEE transactions on bio-medical engineering
Nov 21, 2024
OBJECTIVE: Surface electromyography (sEMG) can sense the motor commands transmitted to the muscles. This work presents a deep learning method that can decode the electrophysiological activity of the forearm muscles into the movements of the human han...
A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development.
IEEE transactions on bio-medical engineering
Nov 21, 2024
OBJECTIVE: Brain dynamic effective connectivity (dEC), characterizes the information transmission patterns between brain regions that change over time, which provides insight into the biological mechanism underlying brain development. However, most e...
Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models.
BMC psychiatry
Nov 21, 2024
BACKGROUND: Suicidal behaviors, which may lead to death (suicide) or survival (suicide attempt), are influenced by various factors. Identifying the specific risk factors for suicidal behavior mortality is critical for improving prevention strategies ...
The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning.
Scientific reports
Nov 21, 2024
This work is to investigate the diagnostic value of a deep learning-based magnetic resonance imaging (MRI) image segmentation (IS) technique for shoulder joint injuries (SJIs) in swimmers. A novel multi-scale feature fusion network (MSFFN) is develop...
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