Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Stress is widely recognized as a major contributor to a variety of health issues. Stress prediction using biosignal data recorded by wearables is a key area of study in mobile sensing research because real-time stress prediction can enable digital interventions to immediately react at the onset of stress, helping to avoid many psychological and physiological symptoms such as heart rhythm irregular...
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.
OBJECTIVES: Maternal stress has long been associated with lower birthweight, which is associated with adverse health outcomes including many adult dis...
Triclocarban (TCC) is an extensively used antimicrobial agent that exhibits endocrine disrupt potential, but its effects on fetal growth remain largel...
Approaches to integrating mixed methods into medical research are gaining popularity. To get a holistic understanding of the effects of behavioural in...
BACKGROUND/AIM: The aim herein was to investigate epileptiform discharges on electroencephalogram (EEG), their correlation with glutamic acid decarbox...
Three-quarters of lifetime mental illness occurs by the age of 24, but relatively little is known about how to robustly identify youth at risk to targ...
In order to enhance the mitigation of crack occurrence and propagation within basement concrete structures, this research endeavors to propose an opti...
(1) Background: At present, physiological stress detection technology is a critical means for precisely evaluating the comprehensive health status of ...
Mobile sensing is a ubiquitous and useful tool to make inferences about individuals' mental health based on physiology and behavior patterns. Along wi...
People with severe intellectual disabilities (ID) could have difficulty expressing their stress which may complicate timely responses from caregivers....
This study aims to analyze the effect of psychological health based on artificial intelligence agent technology on the implementation effect of Japane...
Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy damage leading to yield reduction in maize. Therefore, the...
Mental health, especially stress, plays a crucial role in the quality of life. During different phases (luteal and follicular phases) of the menstrual...
Patient-specific finite element analysis (FEA) holds great promise in advancing the prognosis of cardiovascular diseases by providing detailed biomech...
This paper makes a case for digital mental health and provides insights into how digital technologies can enhance (but not replace) existing mental he...
Machine-learning prediction studies have shown potential to inform treatment stratification, but recent efforts to predict psychotherapy outcomes with...
Survivors of child sex trafficking (SCST) experience high rates of adverse health outcomes. Amidst the duration of their victimization, survivors regu...
Contemporary advancements in wearable equipment have generated interest in continuously observing stress utilizing various physiological indicators. E...
Middle aged adults experience depression and anxiety differently than younger adults. Age may affect life circumstances, depending on accessibility of...