AIMC Topic: Anxiety
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Machine Learning Models to Identify Clinically Significant Anxiety in Short-Term Insomnia Using Accelerometers.
Depression and anxiety
Jan 1, 2025
Clinically significant anxiety (CSA) is common in individuals with short-term insomnia. This study aims to explore the relationship between CSA and the subjective and objective parameters of sleep in patients with short-term insomnia and construct ma...
Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Anxiety is a prevalent and detrimental mental health condition affecting young adults, particularly in college students who face a range of stressors including academic pressures, interpersonal relationships, and financial concerns. The ability to pr...
The League: A person-centred approach to the development of social robotics for paediatric anxiety.
Health expectations : an international journal of public participation in health care and health policy
Feb 1, 2024
BACKGROUND: Social robots are promising tools to improve the quality of life of children and youth living with anxiety and should be developed based on the priorities of end users. However, pathways to include young people in patient-oriented researc...
Geriatric depression and anxiety screening via deep learning using activity tracking and sleep data.
International journal of geriatric psychiatry
Feb 1, 2024
BACKGROUND: Geriatric depression and anxiety have been identified as mood disorders commonly associated with the onset of dementia. Currently, the diagnosis of geriatric depression and anxiety relies on self-reported assessments for primary screening...
[Deep Learning-Based Identification of Common Complication Features of Surgical Incisions].
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Sep 1, 2023
OBJECTIVE: In recent years, due to the development of accelerated recovery after surgery and day surgery in the field of surgery, the average length-of-stay of patients has been shortened and patients stay at home for post-surgical recovery and heali...
Artificial Intelligence and Health Care: What's to Worry?
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Jun 1, 2023
From eczema to anxiety: How artificial intelligence shapes parental perspectives.
Pediatric dermatology
Jan 1, 2023
Pilot Mental Health, Methodologies, and Findings: A Systematic Review.
Aerospace medicine and human performance
Sep 1, 2022
Pilots' mental health has received increased attention following Germanwings Flight 9525 in 2015, where the copilot intentionally crashed the aircraft into the French Alps, killing all on board. An investigation of this incident found that the pilot...
The quantification and clinical analysis of depression and anxiety in patients undergoing Da Vinci robot-assisted radical gastrectomy and open radical gastrectomy.
European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
Nov 1, 2021
The purpose of paper is to investigate the depression and anxiety as well as independent influential factors between patients who underwent Da Vinci robot-assisted radical gastrectomy and radical gastrectomy. This study is a partially randomized pati...
Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural Networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
At present, only professional doctors can use the professional scales to diagnose depression and anxiety in clinical practice. In recent years, the problems of detecting the presence of anxiety or depression using Electroencephalography (EEG) has rec...
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