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Machine learning approach reveals microbiome, metabolome, and lipidome profiles in type 1 diabetes.
Journal of advanced research
Nov 30, 2023
INTRODUCTION: Type 1 diabetes (T1D) is a complex disorder influenced by genetic and environmental factors. The gut microbiome, the serum metabolome, and the serum lipidome have been identified as key environmental factors contributing to the pathophy...
Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles.
Psychological trauma : theory, research, practice and policy
Nov 27, 2023
OBJECTIVE: Posttraumatic stress disorder (PTSD) is a debilitating psychiatric illness, experienced by approximately 10% of the population. Heterogeneous presentations that include heightened dissociation, comorbid anxiety and depression, and emotion ...
Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study.
Psychopathology
Nov 27, 2023
BACKGROUND: New advances in the field of machine learning make it possible to track facial emotional expression with high resolution, including micro-expressions. These advances have promising applications for psychotherapy research, since manual cod...
Effects of Prior Robot Experience, Speed, and Proximity on Psychosocial Reactions to a Soft Growing Robot.
IISE transactions on occupational ergonomics and human factors
Nov 25, 2023
OCCUPATIONAL APPLICATIONSAfter viewing video vignettes of human interactions with a novel soft growing robot, we found that participants reported fewer perceived safety hazards, less anxiety and fear about robots, reduced social hesitancy about human...
Automatic image segmentation and online survival prediction model of medulloblastoma based on machine learning.
European radiology
Nov 23, 2023
OBJECTIVES: To develop a dynamic nomogram containing radiomics signature and clinical features for estimating the overall survival (OS) of patients with medulloblastoma (MB) and design an automatic image segmentation model to reduce labor and time co...
Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs.
Academic radiology
Nov 22, 2023
RATIONALE AND OBJECTIVES: To evaluate the standalone performance of a deep learning (DL) based fracture detection tool on extremity radiographs and assess the performance of radiologists and emergency physicians in identifying fractures of the extrem...
Does an outdoor virtual environment projected in a head-mounted display affect balance in healthy young adults?
Journal of bodywork and movement therapies
Nov 21, 2023
BACKGROUND: Virtual reality head-mounted display (VR-HMD) is increasingly used for balance evaluation and rehabilitation. However, more studies must be conducted on virtual environments (VE) effects. This study aimed to assess the impact of an outdoo...
Students' Foreign Language Learning Adaptability and Mental Health Supported by Artificial Intelligence.
Journal of autism and developmental disorders
Nov 16, 2023
The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a spe...
Acute effects of robot-assisted body weight unloading on biomechanical movement patterns during overground walking.
Journal of biomechanics
Nov 11, 2023
Body weight unloading (BWU) is used in rehabilitation/training settings to reduce kinetic requirements, however different BWU methods may be unequally capable of preserving biomechanical movement patterns. Biomechanical analysis of both kinetic and k...
Outcome prediction of methadone poisoning in the United States: implications of machine learning in the National Poison Data System (NPDS).
Drug and chemical toxicology
Nov 9, 2023
Methadone is an opioid receptor agonist with a high potential for abuse. The current study aimed to compare different machine learning models to predict the outcomes following methadone poisoning. This six-year retrospective longitudinal study utiliz...
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