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Deep learning based diagnosis of PTSD using 3D-CNN and resting-state fMRI data.
Psychiatry research. Neuroimaging
Jun 17, 2024
BACKGROUND: The incidence rate of Posttraumatic stress disorder (PTSD) is currently increasing due to wars, terrorism, and pandemic disease situations. Therefore, accurate detection of PTSD is crucial for the treatment of the patients, for this purpo...
Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.
Journal of psychopathology and clinical science
Jun 17, 2024
Problematic pornography use (PPU) is the most common manifestation of the newly introduced compulsive sexual behavior disorder diagnosis in the 11th revision of the International Classification of Diseases. Research related to PPU has proliferated in...
A novel blood-based epigenetic biosignature in first-episode schizophrenia patients through automated machine learning.
Translational psychiatry
Jun 17, 2024
Schizophrenia (SCZ) is a chronic, severe, and complex psychiatric disorder that affects all aspects of personal functioning. While SCZ has a very strong biological component, there are still no objective diagnostic tests. Lately, special attention ha...
Automatic Quantitative Assessment of Muscle Strength Based on Deep Learning and Ultrasound.
Ultrasonic imaging
Jun 16, 2024
Skeletal muscle is a vital organ that promotes human movement and maintains posture. Accurate assessment of muscle strength is helpful to provide valuable insights for athletes' rehabilitation and strength training. However, traditional techniques re...
Development and validation of an automatic machine learning model to predict abnormal increase of transaminase in valproic acid-treated epilepsy.
Archives of toxicology
Jun 16, 2024
Valproic acid (VPA) is a primary medication for epilepsy, yet its hepatotoxicity consistently raises concerns among individuals. This study aims to establish an automated machine learning (autoML) model for forecasting the risk of abnormal increase o...
EEG emotion recognition based on data-driven signal auto-segmentation and feature fusion.
Journal of affective disorders
Jun 15, 2024
Pattern recognition based on network connections has recently been applied to the brain-computer interface (BCI) research, offering new ideas for emotion recognition using Electroencephalogram (EEG) signal. However unified standards are currently lac...
Assessment of the impacts of artificial intelligence (AI) on intercultural communication among postgraduate students in a multicultural university environment.
Scientific reports
Jun 15, 2024
Artificial intelligence (AI) broadly influences different aspects of human life, especially human communication. One of the main concerns of the broad use of AI in daily interactions among different people could be whether it helps them interact easi...
Examining customer intentions to purchase intelligent robotic products and services in Taiwan using the theory of planned behaviour.
BMC psychology
Jun 15, 2024
BACKGROUND: The literature for assessing online and offline shopping behaviours that are linked to intelligent robotic goods and services is inadequate. In this study, we applied the Theory of Planned Behaviour model for guidance regarding how consum...
Microstate-based brain network dynamics distinguishing temporal lobe epilepsy patients: A machine learning approach.
NeuroImage
Jun 14, 2024
Temporal lobe epilepsy (TLE) stands as the predominant adult focal epilepsy syndrome, characterized by dysfunctional intrinsic brain dynamics. However, the precise mechanisms underlying seizures in these patients remain elusive. Our study encompassed...
GCTNet: a graph convolutional transformer network for major depressive disorder detection based on EEG signals.
Journal of neural engineering
Jun 14, 2024
Identifying major depressive disorder (MDD) using objective physiological signals has become a pressing challenge.Hence, this paper proposes a graph convolutional transformer network (GCTNet) for accurate and reliable MDD detection using electroencep...
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