AIMC Topic: Self Report

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Perception of yips among professional Japanese golfers: perspectives from a network modelled approach.

Scientific reports Oct 11, 2021
'Yips' in golf is a complex spectrum of anxiety and movement-disorder that affects competitive sporting performance. With unclear etiology and high prevalence documented in western literature, the perception and management of this psycho-neuromuscula...
Humans Neural Networks, Computer Movement Disorders Anxiety Disorders Dystonic Disorders Surveys and Questionnaires Female Adolescent Adult Aged Stress, Psychological Male Young Adult Self Report Middle Aged Japan Prevalence Perception Golf
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Prediction of anxiety disorders using a feature ensemble based bayesian neural network.

Journal of biomedical informatics Oct 8, 2021
Anxiety disorders are common among youth, posing risks to physical and mental health development. Early screening can help identify such disorders and pave the way for preventative treatment. To this end, the Youth Online Diagnostic Assessment (YODA)...
Neural Networks, Computer Mental Health Anxiety Disorders Adolescent Humans Bayes Theorem Self Report
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A Neural Networks Approach to Determine Factors Associated With Self-Reported Discomfort in Picking Tasks.

Human factors Oct 4, 2021
OBJECTIVE: A neural networks approach has been proposed to handle various inputs such as postural, anthropometric and environmental variables in order to estimate self-reported discomfort in picking tasks. An input reduction method has been proposed,...
Computer Simulation Posture Self Report Anthropometry Humans Neural Networks, Computer
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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.

The Lancet. Digital health Jul 29, 2021
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial intelligence models to identify possible infection foci. To date, these models have only considered the culmination or peak of symptoms, which is not s...
Adolescent Mobile Applications Models, Biological Self Report Sensitivity and Specificity Male Middle Aged Epidemiologic Studies Anosmia Chest Pain Dyspnea United Kingdom Early Diagnosis Prospective Studies Female SARS-CoV-2 Aged Aged, 80 and over Young Adult Adult Humans Artificial Intelligence Pandemics COVID-19
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Biomarker-Informed Machine Learning Model of Cognitive Fatigue from a Heart Rate Response Perspective.

Sensors (Basel, Switzerland) Jun 2, 2021
Cognitive fatigue is a psychological state characterised by feelings of tiredness and impaired cognitive functioning arising from high cognitive demands. This paper examines the recent research progress on the assessment of cognitive fatigue and prov...
Cognition Self Report Heart Rate Humans Machine Learning Biomarkers
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Comparing stress prediction models using smartwatch physiological signals and participant self-reports.

Computer methods and programs in biomedicine May 30, 2021
Recent advances in wearable technology have facilitated the non-obtrusive monitoring of physiological signals, creating opportunities to monitor and predict stress. Researchers have utilized machine learning methods using these physiological signals ...
Machine Learning Wearable Electronic Devices Logistic Models Support Vector Machine Self Report Humans
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Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence.

Journal of medical Internet research Apr 30, 2021
BACKGROUND: The COVID-19 pandemic has disrupted human societies around the world. This public health emergency was followed by a significant loss of human life; the ensuing social restrictions led to loss of employment, lack of interactions, and burg...
Humans Pandemics COVID-19 Mental Health Communication Emotions Markov Chains Social Media Psychological Distress Natural Language Processing Sadness Self Report
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App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning.

PloS one Mar 25, 2021
BACKGROUND: Tests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the effectiveness of the disease control. Hence, we aim to use the combination of sympto...
False Positive Reactions Risk Anosmia Male COVID-19 Testing Middle Aged Mobile Applications Retrospective Studies Humans Brazil Registries Dyspnea Female Machine Learning Fever False Negative Reactions SARS-CoV-2 COVID-19 Self Report Adult
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Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set.

Journal of medical Internet research Jan 22, 2021
BACKGROUND: In the United States, the rapidly evolving COVID-19 outbreak, the shortage of available testing, and the delay of test results present challenges for actively monitoring its spread based on testing alone.
Self Report Datasets as Topic United States Longitudinal Studies Social Media Natural Language Processing Humans SARS-CoV-2 COVID-19 Disease Outbreaks Speech
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A machine learning approach to modeling PTSD and difficulties in emotion regulation.

Psychiatry research Jan 5, 2021
Despite evidence for the association between emotion regulation difficulties and posttraumatic stress disorder (PTSD), less is known about the specific emotion regulation abilities that are most relevant to PTSD severity. This study examined both ite...
Humans Models, Psychological Emotional Regulation Machine Learning Stress Disorders, Post-Traumatic Emotions Self Report
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