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Mental Health Evaluation Based on Visual Analysis Technology.

Weifeng Kong1

  • 1Department of Basic Courses, Jiyuan Vocational and Technical College, Jiyuan 459000, China.

Journal of Healthcare Engineering
|March 18, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel visual analysis method for mental health assessment, utilizing the SCL-90 scale to help individuals understand their mental well-being through data analysis.

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Area of Science:

  • Psychology
  • Computer Science
  • Data Visualization

Background:

  • Current mental health assessment systems face challenges in providing accessible and understandable insights.
  • There is a need for innovative methods to empower individuals in analyzing their mental health status.

Purpose of the Study:

  • To propose and develop a mental health assessment method leveraging visual analysis technology.
  • To enhance individual understanding of mental health through data visualization.

Main Methods:

  • The study employed the SCL-90 symptom self-rating scale for mental health assessment.
  • A system was designed and implemented for visual analysis of personal current and historical mental health data.
  • User surveys and system quality evaluations were conducted.

Main Results:

  • The developed system provides visual analysis of user data, aiding in mental health comprehension.
  • User feedback and system quality assessments confirmed the method's effectiveness.
  • The feasibility and practicality of the visual analysis approach were validated.

Conclusions:

  • Visual analysis technology offers a promising approach to mental health assessment.
  • The proposed method enhances user engagement and understanding of their mental well-being.
  • This system provides a practical tool for individuals to monitor and analyze their mental health.