Dempster Shafer Analysis in Mental and Emotional Health Monitoring

Authors

  • Asyahri Hadi Nasyuha Universitas Teknologi Digital Indonesia
  • Dini Fakta Sari Universitas Teknologi Digital Indonesia
  • Azanuddin Politeknik Negeri Medan
  • Muhammad Hafidz Ady Khoiri Universitas Teknologi Digital Indonesia

DOI:

https://doi.org/10.31294/p.v26i2.5044

Keywords:

Expert System, Dempster Shafer, Mental and Emotional Health

Abstract

Monitoring and diagnosing mental and emotional health is a significant challenge in the healthcare field due to its complex and subjective nature. This research aims to develop an expert system using the Dempster-Shafer method in monitoring and diagnosing mental and emotional health conditions. The Dempster-Shafer method was chosen because of its ability to handle uncertainty and combine various evidence from different information sources. This analysis is designed to identify seven types of mental and emotional illness by considering twenty-four related symptoms. The results of the analysis show that this expert system can provide a more accurate and comprehensive assessment compared to conventional methods. It is hoped that the implementation of this expert system can be an effective tool for medical personnel in making diagnoses and determining appropriate treatment steps for patients with mental and emotional health conditions. This study also highlights the potential of the Dempster-Shafer method in other applications that require evidence-based analysis under uncertainty.

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Published

2024-10-03

How to Cite

Nasyuha, A. H., Sari, D. F., Azanuddin, A., & Khoiri, M. H. A. (2024). Dempster Shafer Analysis in Mental and Emotional Health Monitoring. Paradigma - Jurnal Komputer Dan Informatika, 26(2), 73-79. https://doi.org/10.31294/p.v26i2.5044

Issue

Vol. 26 No. 2 (2024): September 2024 Period

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Articles

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Copyright (c) 2024 Asyahri Hadi Nasyuha, Dini Fakta Sari, Azanuddin, Muhammad Hafidz Ady Khoiri

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