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Young Adult
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Deep learning framework for subject-independent emotion detection using wireless signals.
PloS one
Feb 3, 2021
Emotion states recognition using wireless signals is an emerging area of research that has an impact on neuroscientific studies of human behaviour and well-being monitoring. Currently, standoff emotion detection is mostly reliant on the analysis of f...
Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure.
European journal of nuclear medicine and molecular imaging
Feb 1, 2021
PURPOSE: To generate diagnostic F-FDG PET images of pediatric cancer patients from ultra-low-dose F-FDG PET input images, using a novel artificial intelligence (AI) algorithm.
Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network.
JAMA network open
Feb 1, 2021
IMPORTANCE: The Undiagnosed Diseases Network (UDN) is a national network that evaluates individual patients whose signs and symptoms have been refractory to diagnosis. Providing reliable estimates of admission outcomes may assist clinical evaluators ...
Prospective Studies
Computer Simulation
Retrospective Studies
Female
Infant, Newborn
Humans
Machine Learning
Middle Aged
Infant
Adolescent
Child, Preschool
Child
Reproducibility of Results
Young Adult
Adult
Male
Patient Selection
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Patient Admission
Rare Diseases
Undiagnosed Diseases
ROC Curve
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Area Under Curve
Whole Genome Sequencing
Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.
JAMA network open
Feb 1, 2021
IMPORTANCE: An objective, reliable indicator of the presence and severity of concussive brain injury and of the readiness for the return to activity has the potential to reduce concussion-related disability.
Machine learning predictive model for severe COVID-19.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Jan 28, 2021
To develop a modified predictive model for severe COVID-19 in people infected with Sars-Cov-2. We developed the predictive model for severe patients of COVID-19 based on the clinical date from the Tumor Center of Union Hospital affiliated with Tongji...
Visual Analytics of a Computer-Aided Diagnosis System for Pancreatic Lesions.
IEEE transactions on visualization and computer graphics
Jan 28, 2021
Machine learning is a powerful and effective tool for medical image analysis to perform computer-aided diagnosis (CAD). Having great potential in improving the accuracy of a diagnosis, CAD systems are often analyzed in terms of the final accuracy, le...
The accuracy and predictability of micro Doppler radar signature projection algorithm measuring functional movement in NCAA athletes.
Gait & posture
Jan 26, 2021
BACKGROUND: Development of accessible cost-effective technology to objectively, reliably, and accurately predict musculoskeletal injury risk could aid the effort to prevent chronic pain and disability. Recent work on micro-Doppler radar suggests it m...
Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images.
Scientific reports
Jan 26, 2021
We aimed to develop a model to predict visual field (VF) in the central 10 degrees in patients with glaucoma, by training a convolutional neural network (CNN) with optical coherence tomography (OCT) images and adjusting the values with Humphrey Field...
Factors that influence parents' intentions of using autonomous vehicles to transport children to and from school.
Accident; analysis and prevention
Jan 25, 2021
High-level autonomous vehicles (AVs) are likely to improve the quality of children's travel to and from school (such as improve travel safety and increase travel mobility). These expected benefits will not be presented if parents are not willing to u...
Judges' evaluation reliability changes between identifiable and anonymous performance of hip-hop dance movements.
PloS one
Jan 25, 2021
Hip-hop competitions are performed across the world. In the recent inclusion in the 2018 Youth Olympic Games, the assessment of hip-hop performance is undertaken by a panel of judges. The purpose of this study was to determine the reliability of diff...
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