Page 518 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD)
Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies
Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470

Leveraging Technology for Mental Health:
A Study on the Effectiveness of the Mental Well

System in Psychological Disorder Identification

Rohan Andeo , Srushti Bhavik , Prof. Usha Kosarkar
3
2
1
1,2,3 Department of Science and Technology,
1,2,3 G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, India

ABSTRACT yet it often remains under-addressed due to stigma, lack of
The growing global burden of mental health disorders access to care, and challenges in early diagnosis.
underscores the need for innovative approaches to their Psychological disorders such as depression, anxiety, and
identification and management. Advances in technology are post-traumatic stress disorder (PTSD) affect millions
transforming the way mental health issues are addressed, globally, impacting their quality of life and productivity.
offering tools that are more accessible, efficient, and Addressing these issues effectively requires innovative and
scalable. The Mental Well System represents a pivotal scalable solutions, and technology has emerged as a
innovation in this domain, focusing on the early detection powerful enabler in this domain.
and identification of psychological disorders using
technological interventions. The rise of digital tools and platforms has revolutionized
mental health care. From mobile applications and wearable
The Mental Well System is an integrated platform devices to artificial intelligence (AI) and data analytics,
combining artificial intelligence, machine learning, and data technology offers new ways to identify, monitor, and manage
analytics to assess mental health. It gathers data from mental health conditions. The Mental Well System is a
multiple sources, such as self-reported surveys, wearable state-of-the-art example of such innovation, aiming to
devices, and social media activity, to evaluate psychological transform psychological disorder identification through
well-being. The system employs predictive algorithms to advanced technological capabilities.
analyze patterns and detect early signs of mental health The Mental Well System integrates various technologies,
conditions like depression, anxiety, and post-traumatic including AI algorithms, machine learning models, and big
stress disorder (PTSD).
data analytics. It collects data from diverse sources such as
One key advantage of the Mental Well System is its ability to user inputs, wearable health monitors, and even passive data
deliver real-time insights. Traditional methods of from social media activity. This data is then analyzed to
diagnosing psychological disorders often rely on lengthy detect patterns and symptoms associated with mental health
consultations and subjective evaluations, which can delay conditions, enabling early and accurate identification of
intervention. By contrast, the Mental Well System psychological disorders.
accelerates the diagnostic process, enabling timely support This system stands out for its ability to deliver timely and
and treatment.
personalized insights. Traditional mental health assessments
Additionally, the system promotes accessibility. Many often require significant time and depend on subjective
individuals hesitate to seek professional help due to stigma, judgment, which can lead to delays in diagnosis and
lack of awareness, or logistical barriers such as geographic treatment. By automating data collection and analysis, the
distance or cost. The Mental Well System addresses these Mental Well System accelerates this process and reduces the
challenges by offering remote and affordable solutions, risk of missed or incorrect diagnoses.
empowering users to monitor their mental health discreetly
Moreover, the system emphasizes accessibility and
and proactively.
inclusivity. Many individuals face barriers to traditional
The system's effectiveness is further enhanced by its mental health services, such as cost, geographic limitations,
personalization capabilities. Machine learning algorithms or cultural stigma. The Mental Well System addresses these
adapt to individual behavioral patterns, creating tailored issues by offering remote, user-friendly, and affordable
mental health profiles. This personalized approach ensures mental health tools, empowering users to seek help in a non-
that recommendations and interventions are relevant and intrusive and confidential manner.
impactful.
Despite its potential, leveraging technology for mental health
However, challenges remain in leveraging technology for also poses challenges. Ensuring data security, minimizing
mental health. Issues such as data privacy, algorithmic bias, algorithmic biases, and maintaining ethical standards are
and the need for rigorous validation of digital tools are vital considerations in the development and deployment of
critical concerns. It is essential to balance technological such systems. Additionally, collaboration between mental
innovation with ethical considerations and clinical health professionals and technologists is essential to align
standards. technological solutions with clinical best practices.

In this study, we explore the effectiveness of the Mental Well
I. INTRODUCTION System in identifying psychological disorders. By examining
Mental health is a critical component of overall well-being,

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 508