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Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values.
PLoS computational biology
Jun 23, 2021
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can benefit from novel approaches to epidemiology that leverage large datasets and complex machine-learning models, provide data-driven intelligence, and guid...
Behavioral correlates of cortical semantic representations modeled by word vectors.
PLoS computational biology
Jun 23, 2021
The quantitative modeling of semantic representations in the brain plays a key role in understanding the neural basis of semantic processing. Previous studies have demonstrated that word vectors, which were originally developed for use in the field o...
Muscle network topology analysis for the classification of chronic neck pain based on EMG biomarkers extracted during walking.
PloS one
Jun 21, 2021
Neuromuscular impairments are frequently observed in patients with chronic neck pain (CNP). This study uniquely investigates whether changes in neck muscle synergies detected during gait are sensitive enough to differentiate between people with and w...
Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma.
The British journal of radiology
Jun 19, 2021
OBJECTIVE: This study aims to build machine learning-based CT radiomic features to predict patients developing metastasis after osteosarcoma diagnosis.
Prediction of venous thromboembolism with machine learning techniques in young-middle-aged inpatients.
Scientific reports
Jun 18, 2021
Accumulating studies appear to suggest that the risk factors for venous thromboembolism (VTE) among young-middle-aged inpatients are different from those among elderly people. Therefore, the current prediction models for VTE are not applicable to you...
Assessing the Accuracy and Reproducibility of PARIETAL: A Deep Learning Brain Extraction Algorithm.
Journal of magnetic resonance imaging : JMRI
Jun 16, 2021
BACKGROUND: Manual brain extraction from magnetic resonance (MR) images is time-consuming and prone to intra- and inter-rater variability. Several automated approaches have been developed to alleviate these constraints, including deep learning pipeli...
Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.
American journal of physiology. Regulatory, integrative and comparative physiology
Jun 16, 2021
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 of the adult population in the United States. The current gold standard to quantify pain is highly subjective, based upon self-reporting with numerica...
Hot Temperature
Sympathetic Nervous System
Pain Threshold
Galvanic Skin Response
Electrodiagnosis
Pain Measurement
Signal Processing, Computer-Assisted
Skin
Feasibility Studies
Pain
Pain Perception
Humans
Machine Learning
Female
Reproducibility of Results
Young Adult
Adult
Male
Severity of Illness Index
Predictive Value of Tests
A machine learning approach for predicting suicidal thoughts and behaviours among college students.
Scientific reports
Jun 15, 2021
Suicidal thoughts and behaviours are prevalent among college students. Yet little is known about screening tools to identify students at higher risk. We aimed to develop a risk algorithm to identify the main predictors of suicidal thoughts and behavi...
Deep Learning-Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction: A Point-of-Care Solution.
Circulation. Cardiovascular imaging
Jun 15, 2021
BACKGROUND: We have recently tested an automated machine-learning algorithm that quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical views. However, in the point-of-care (POC) setting, apical 2-chamber views are...
Experimental and numerical diagnosis of fatigue foot using convolutional neural network.
Computer methods in biomechanics and biomedical engineering
Jun 14, 2021
Fatigue is an essential criterion for physiotherapy in injured athletes. Muscle fatigue mechanism also is a crucial matter in designing a workout program. It is mainly related to physical injury, cerebrovascular accident, spinal cord injury, and rheu...
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