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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53317
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Mental health disorders such as depression and anxiety are among the leading causes of disability worldwide. Traditional mental health assessments rely heavily on manual questionnaires and periodic consultations, which can delay diagnosis and intervention. MindGuard Analytics is an intelligent, web- based mental health detection and monitoring system that bridges the gap between patients and healthcare providers through automation, analytics, and secure digital connectivity. The platform integrates standardized clinical tools, including the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Assessment (GAD-7), to enable accurate, real- time assessment of mental health conditions. Patients can perform self-assessments, visualize progress through interactive analytics, and access reports, while healthcare providers can monitor multiple patients, generate alerts, and intervene promptly in high-risk cases. The system emphasizes data security, privacy, and HIPAA compliance, incorporating encryption, authentication, and secure database handling. Results from the implementation indicate that MindGuard Analytics effectively enhances accessibility, reduces administrative workloads, and supports proactive mental healthcare delivery through automation and real-time analytics.
KEYWORDS
Publication Date
10/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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