scholarly journals Psychological Assistant Bot Using Artificial Intelligence to Improve Individuals' Mental Health

2020 ◽  
Author(s):  
Shomoita Jahid Mitin
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Quality Of Experience ◽  
Health Issues ◽  
Psychological Issues ◽  
Text Input ◽  
The People ◽  
Clinical Support ◽  
Psychological Knowledge

The ignorance of mental health has caused many lives. But there is no awareness among the peoplebecause most of the people of our country do not treat mental health issues as equally they treat the physicalissues and disagree to consult with any psychologist or spend money for psychological issues. The proposedidea is to create a psychological assistant bot using Artificial Intelligence based on supervised learning methodthat can diagnose the disease and provide basic instructions before consulting a doctor. To reduce thehealthcare costs and improve accessibility to psychological knowledge the Psychological Assistant Bot (PAB)is built. I have tried to build a prototype of a system that will take text input and give an output afterprocessing. Chabot is computer programs that mimic human conversation to interact with users through avariety of messaging channels. Chabot have also been employed for research and clinical support in everysector - domain. In the field of psychology, chatbots have been applied to informative research where surveyor interview data collection are substituted with chatbots that can interact with the subjects in web messagingapps in a psychological setting. This paper examines the design and development of a Chabot for a psychologyresearch study. The stakeholders, functionality, perspectives and technical challenges are presented anddiscussed. I apply a quality of experience framework to explore the factors that impact stakeholders andinfluence design priories.

scholarly journals PRM127 Measuring Quality of Life in Mental Health: Issues and Challenges

2012 ◽  
Vol 15 (7) ◽  
pp. A483
Author(s):  
L. Lewis ◽  
M. Taylor ◽  
S. Roberts
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Issues ◽  
Mental Health Issues

Mental health issues and sleep quality of Indian employees and higher education students during COVID-19 lockdown

2021 ◽  
Vol 9 (2) ◽  
pp. 193
Author(s):  
B.L. Radhakrishnan ◽  
E. Kirubakaran ◽  
R.V. Belfin ◽  
Sudhakar Selvam ◽  
K. Martin Sagayam ◽  
...  
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
Sleep Quality ◽  
Health Issues ◽  
Education Students ◽  
Mental Health Issues

scholarly journals B.05 The importance of mental health in improving quality of life in transition-aged patients with epilepsy

2019 ◽  
Vol 46 (s1) ◽  
pp. S11
Author(s):  
KC Mabilangan ◽  
S Healy ◽  
T Fantaneanu ◽  
S Whiting
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Issues ◽  
Aged Patients ◽  
Related Data ◽  
Mental Health Issues ◽  
Transition Clinic ◽  
Elevated Rate ◽  
The Individual

Background: Growing evidence has that a suggested that mental health strongly influences quality of life (QoL) in adolescents with epilepsy. In addition, research has suggested that these mental health issues are associated with increased seizure burden and worsened health outcomes. Despite this, and the elevated rate of mental health issues in this population, seizure control tends to be the dominant or sole concern for treating physicians. Methods: In order to look at potential predictors of QoL in adolescents we looked at seizure related data, demographic variables, and comorbid conditions in 70 adolescents with epilepsy aged 14 to 18 (M= 16.3l; 37 males, 33 females) enrolled into an epilepsy transition clinic. Results: Regression analysis found that mental health remained a significant and independent predictor of QoL even when other significant seizure related variables were accounted for (t(58)= -3.44, p= .001). Furthermore, when looking at the individual subscales of patient QoL (e.g., memory, social support, stigma), mental health was consistently found to be the strongest correlate. Conclusions: These results demonstrate that in order to ensure the best outcomes for transition-aged adolescents with epilepsy, it is important to not only manage and treat seizures, but also to assess and treat mental health issues.

scholarly journals Advancing Mental Health and Psychological Support for Health Care Workers Using Digital Technologies and Platforms (Preprint)

2020 ◽  
Author(s):  
Jiancheng Ye
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Care Workers ◽  
Digital Technologies ◽  
Well Being ◽  
Psychological Problems ◽  
Health Issues ◽  
Psychological Issues ◽  
Mental Health Issues ◽  
Care Workers

BACKGROUND The COVID-19 pandemic is a global public health crisis that has not only endangered the lives of patients but also resulted in increased psychological issues among medical professionals, especially frontline health care workers. As the crisis caused by the pandemic shifts from acute to protracted, attention should be paid to the devastating impacts on health care workers’ mental health and social well-being. Digital technologies are being harnessed to support the responses to the pandemic, which provide opportunities to advance mental health and psychological support for health care workers. OBJECTIVE The aim of this study is to develop a framework to describe and organize the psychological and mental health issues that health care workers are facing during the COVID-19 pandemic. Based on the framework, this study also proposes interventions from digital health perspectives that health care workers can leverage during and after the pandemic. METHODS The psychological problems and mental health issues that health care workers have encountered during the COVID-19 pandemic were reviewed and analyzed based on the proposed MEET (Mental Health, Environment, Event, and Technology) framework, which also demonstrated the interactions among mental health, digital interventions, and social support. RESULTS Health care workers are facing increased risk of experiencing mental health issues due to the COVID-19 pandemic, including burnout, fear, worry, distress, pressure, anxiety, and depression. These negative emotional stressors may cause psychological problems for health care workers and affect their physical and mental health. Digital technologies and platforms are playing pivotal roles in mitigating psychological issues and providing effective support. The proposed framework enabled a better understanding of how to mitigate the psychological effects during the pandemic, recover from associated experiences, and provide comprehensive institutional and societal infrastructures for the well-being of health care workers. CONCLUSIONS The COVID-19 pandemic presents unprecedented challenges due to its prolonged uncertainty, immediate threat to patient safety, and evolving professional demands. It is urgent to protect the mental health and strengthen the psychological resilience of health care workers. Given that the pandemic is expected to exist for a long time, caring for mental health has become a “new normal” that needs a strengthened multisector collaboration to facilitate support and reduce health disparities. The proposed MEET framework could provide structured guidelines for further studies on how technology interacts with mental and psychological health for different populations.

Emerging Artificial Intelligence-Empowered Mobile Health: A scoping review (Preprint)

2021 ◽  
Author(s):  
Paras Bhatt ◽  
Jia Liu ◽  
Yanmin Gong ◽  
Jing Wang ◽  
Yuanxiong Guo
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Disease Management ◽  
Scoping Review ◽  
Predictive Models ◽  
Healthcare Delivery ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Health Issues ◽  
Mental Health Issues

BACKGROUND Artificial Intelligence (AI) has revolutionized healthcare delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning to build predictive models for the early detection of diseases. Such predictive models leverage mobile health (mHealth) data from wearable sensors and smartphones to discover novel ways for detecting and managing chronic diseases and mental health conditions. OBJECTIVE Currently, little is known about the use of AI-powered mHealth settings. Therefore, this scoping review aims to map current research on the emerging use of AI-powered mHealth (AIM) for managing diseases and promoting health. Our objective is to synthesize research in AIM models that have increasingly been used for healthcare delivery in the last two years. METHODS Using Arksey and O’Malley’s 5-point framework for conducting scoping reviews, we review AIM literature from the past two years in the fields of Biomedical Technology, AI, and Information Systems (IS). We searched three databases - informs PubsOnline, e-journal archive at MIS Quarterly, and ACM Digital Library using keywords such as mobile healthcare, wearable medical sensors, smartphones and AI. We include AIM articles and exclude technical articles focused only on AI models. Also, we use the PRISMA technique for identifying articles that represent a comprehensive view of current research in the AIM domain. RESULTS We screened 108 articles focusing on developing AIM models for ensuring better healthcare delivery, detecting diseases early, and diagnosing chronic health conditions, and 37 articles were eligible for inclusion. A majority of the articles were published last year (31/37). In the selected articles, AI models were used to detect serious mental health issues such as depression and suicidal tendencies and chronic health conditions such as sleep apnea and diabetes. The articles also discussed the application of AIM models for remote patient monitoring and disease management. The primary health concerns addressed relate to three categories: mental health, physical health, and health promotion & wellness. Of these, AIM applications were majorly used to research physical health, representing 46% of the total studies. Finally, a majority of studies use proprietary datasets (28/37) rather than public datasets. We found a lack of research in addressing chronic mental health issues and a lack of publicly available datasets for AIM research. CONCLUSIONS The application of AIM models for disease detection and management is a growing research domain. These models provide accurate predictions for enabling preventive care on a broader scale in the healthcare domain. Given the ever-increasing need for remote disease management during the pandemic, recent AI techniques such as Federated Learning (FL) and Explainable AI (XAI) can act as a catalyst to increase the adoption of AIM and enable secure data sharing across the healthcare industry.

Mental Health

2021 ◽  
pp. 143-152
Author(s):  
Shazia Ali ◽  
Amat Us Samie ◽  
Asma Ali ◽  
Aashiq Hussain Bhat ◽  
Tariq Mir ◽  
...  
Keyword(s):  
Mental Health ◽  
Political Conflict ◽  
World Health ◽  
Global Burden ◽  
Age Group ◽  
Health Issues ◽  
The People ◽  
Working Age ◽  
War And Conflict ◽  
Health Organization

Global health issues are a global burden and are relatively common in industrialized societies. The World Health Organization and researchers have developed and rebuilt tools to report the burden of disease affecting mortality and health of the people. Apart from America and Europe, which are at an average of global burden for mental health disease, in some regions it is a major priority to be addressed globally. In South East Asia, one of the affected regions is Kashmir, Northern Indian. Disasters have manifested in various forms encompassing the natural calamities of earthquake, flood, landslides and manmade calamities of violence. Trauma due to manmade calamities has taken over as a leading cause of morbidity and mortality among the most productive working age group of 12-35 years. The chapter aims to understand the patterns of resilience in people surviving war and conflict in Kashmir over last 60 years. The focus is on the young population of society. Generations in Kashmir have faced the psychosocial impact of ongoing political conflict since the 1980's.

Improving the Treatment Outcomes for ADHD Patients with IS/IT

2014 ◽  
Vol 6 (4) ◽  
pp. 38-55 ◽  
Author(s):  
Bader Binhadyan ◽  
Indrit Troshani ◽  
Nilmini Wickramasinghe
Keyword(s):  
Mental Health ◽  
Saudi Arabia ◽  
Network Theory ◽  
Healthcare Providers ◽  
Actor Network Theory ◽  
Electronic Record ◽  
School Age Children ◽  
Health Issues ◽  
Hyperactivity Disorder

The key role for IS/IT in e-health has now been well established; however, within e-health the area of e-mental health is still new and emerging and scholars and practitioners alike are dubious as to the role for IS/IT and its benefits. We propose using Actor-network Theory (ANT) to assist in understanding the enabling role in e-mental health and we focus on one area of mental health, adults with Attention Deficit Hyperactivity Disorder (ADHD). We focus on Saudi Arabia. Attention to ADHD has begun to gain growing attention from Saudi Arabia healthcare providers and researchers. Currently, there is an estimated 15% of school age children suffering from ADHD. More than half of these children are expected to continue to show the symptoms of ADHD through their adolescence and adulthood. ADHD impacts the quality of life these individuals. Technology has the potential to improve mental health services this can be seen in enabling early intervention or treatment for people with mental health issues. Saudi Arabia is investing heavily in e-health and aiming to build a complete patient electronic record by 2020.

Mental Health

2020 ◽  
pp. 18-29
Author(s):  
Shazia Ali ◽  
Amat Us Samie ◽  
Asma Ali ◽  
Aashiq Hussain Bhat ◽  
Tariq Mir ◽  
...  
Keyword(s):  
Mental Health ◽  
Political Conflict ◽  
World Health ◽  
Global Burden ◽  
Age Group ◽  
Health Issues ◽  
The People ◽  
Working Age ◽  
War And Conflict ◽  
Health Organization

Global health issues are a global burden and are relatively common in industrialized societies. The World Health Organization and researchers have developed and rebuilt tools to report the burden of disease affecting mortality and health of the people. Apart from America and Europe, which are at an average of global burden for mental health disease, in some regions it is a major priority to be addressed globally. In South East Asia, one of the affected regions is Kashmir, Northern Indian. Disasters have manifested in various forms encompassing the natural calamities of earthquake, flood, landslides and manmade calamities of violence. Trauma due to manmade calamities has taken over as a leading cause of morbidity and mortality among the most productive working age group of 12-35 years. The chapter aims to understand the patterns of resilience in people surviving war and conflict in Kashmir over last 60 years. The focus is on the young population of society. Generations in Kashmir have faced the psychosocial impact of ongoing political conflict since the 1980's.

Parents' Views of Psychological Services for Children With a Disability

2009 ◽  
Vol 26 (2) ◽  
pp. 127-137
Author(s):  
Tim Connell ◽  
Violetta Hodges
Keyword(s):  
Physical Disability ◽  
Physical Disabilities ◽  
Postal Survey ◽  
Psychological Services ◽  
Health Issues ◽  
Support Worker ◽  
Psychological Issues ◽  
The Past ◽  
Psychological Coping

AbstractThe greater risk of mental health issues for all members of a family when a child has a physical disability is well established. Families' views of the type of psychological services that will be most helpful were surveyed. Parents of 69 children with physical disabilities (primarily cerebral palsy) completed a postal survey of psychological issues they had experienced in the past, value of any help received, and their descriptions of experiences with support workers that were either helpful or unhelpful to their psychological coping. Parents indicated strongly that the help for the psychological issues was helpful. Of all categories of support worker identified, the percentage of psychologists being helpful was highest. One distinctive quality of the parent-identified features of effective support services reported in this study is their simplicity. Parents want to be supported by workers who are caring, do their jobs well, provide good information about the issues and help them connect with other families.

scholarly journals Framework towards the Process of Estimating or Predicting Perceived QoE Based on the Datasets Obtained the Mobile Network

2019 ◽  
Vol 9 (2) ◽  
pp. 3627-3631
Keyword(s):  
Artificial Intelligence ◽  
Consumer Satisfaction ◽  
Quality Of Experience ◽  
Research Study ◽  
Mobile Network ◽  
Mobile Internet ◽  
Software Defined Network ◽  
Network Functionality ◽  
Mobile Network Operators

Nowadays, the research study community visualizes a standard shift that is going to put the focus on Quality of Experience metrics, which relate directly to complete consumer satisfaction. Yet, determining QoE coming from QoS sizes is a daunting job that powerful Software Defined Network operators are currently able to tackle through artificial intelligence strategies. In this paper, our experts pay attention to a few essential QoE factors, and we to begin with proposing a Bayesian Network design to anticipate re-buffering proportion. This paper suggested a structure for modeling mobile network QoE, making use of the vast records analytics approach. The planned platform explains the method of estimating or forecasting perceived QoE based upon the datasets obtained or collected from the mobile network to enable the mobile network operators efficiently to deal with the network functionality as well as supply the individuals an adequate mobile Internet QoE.

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