AIMC Topic: Anxiety
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Artificial Intelligence based facial recognition for Mood Charting among men on life style modification and it's correlation with cortisol.
Asian journal of psychiatry
May 11, 2019
UNLABELLED: Today, clinicians and researchers believe that mood disorders in children and adolescents remain one of the most under diagnosed mental health problems. Mood disorders in adolescents also put them at risk for other conditions that may per...
Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.
IEEE journal of biomedical and health informatics
Apr 26, 2019
Childhood anxiety and depression often go undiagnosed. If left untreated these conditions, collectively known as internalizing disorders, are associated with long-term negative outcomes including substance abuse and increased risk for suicide. This p...
Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.
Medicina (Kaunas, Lithuania)
Apr 9, 2019
BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio...
Humans
Virtual Reality Exposure Therapy
Upper Extremity
Hand Strength
Stroke Rehabilitation
Male
Recovery of Function
Spatial Navigation
Robotics
Exercise Therapy
Prospective Studies
Middle Aged
Double-Blind Method
Attention
Anxiety
Female
Range of Motion, Articular
Cognition
Analysis of Variance
Aged
Treatment Outcome
Memory
Biomechanical Phenomena
Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach.
NeuroImage. Clinical
Apr 3, 2019
BACKGROUND: It is becoming increasingly clear that pathophysiological processes underlying psychiatric disorders categories are heterogeneous on many levels, including symptoms, disease course, comorbidity and biological underpinnings. This heterogen...
Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.
PloS one
Jan 16, 2019
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause c...
Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.
eNeuro
Jan 3, 2019
Fear of pain demonstrates significant prognostic value regarding the development of persistent musculoskeletal pain and disability. Its assessment often relies on self-report measures of pain-related fear by a variety of questionnaires. However, base...
Learning from data to predict future symptoms of oncology patients.
PloS one
Dec 31, 2018
Effective symptom management is a critical component of cancer treatment. Computational tools that predict the course and severity of these symptoms have the potential to assist oncology clinicians to personalize the patient's treatment regimen more ...
Pet robot intervention for people with dementia: A systematic review and meta-analysis of randomized controlled trials.
Psychiatry research
Dec 6, 2018
This study aims to systematically evaluate the efficacy of Pet robot intervention (PRI) for people with dementia. Two waves of electronic searches of the PubMed, EMBASE, Web of Science, Cochrane library, IEEE Digital Library and PsycINFO databases we...
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.
Metabolic brain disease
Nov 22, 2018
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs) and memory impairments, which are associated with PHEMN (psychosis, hostility, excitation, mannerism and negative) and DAPS (depression, anxiety and...
Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial.
Journal of medical Internet research
Oct 10, 2018
BACKGROUND: Low adherence to recommended treatments is a multifactorial problem for patients in rehabilitation after myocardial infarction (MI). In a nationwide trial of internet-delivered cognitive behavior therapy (iCBT) for the high-risk subgroup ...
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