Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer Algorithm
This study aims to address the challenge of diagnosing mental disorders by using an expert system to provide accurate and efficient diagnosis. Mental health is crucial for achieving harmony in life, and the ability to face problems, feel happiness, and maintain positivity are all essential aspects o...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Informatics Department, Faculty of Computer Science Bina Darma University
2023-03-01
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Series: | Journal of Information Systems and Informatics |
Subjects: | |
Online Access: | https://journal-isi.org/index.php/isi/article/view/461 |
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author | Ricky Perdana Kusuma Chairun Nas |
author_facet | Ricky Perdana Kusuma Chairun Nas |
author_sort | Ricky Perdana Kusuma |
collection | DOAJ |
description | This study aims to address the challenge of diagnosing mental disorders by using an expert system to provide accurate and efficient diagnosis. Mental health is crucial for achieving harmony in life, and the ability to face problems, feel happiness, and maintain positivity are all essential aspects of this. However, diagnosing mental disorders can be difficult and time-consuming, as symptoms may vary depending on the patient's condition and lifestyle. The study utilizes symptom data from 30 patients with 6 types of mental disorders, with each symptom assigned a weighted value of belief for the corresponding disorder. The Dempster Shafer algorithm is then used to process this data and obtain a total confidence value for each disorder. The results show a 97% confidence value for the patient's mental disorder, which can help psychologists make informed decisions and provide appropriate treatment. |
first_indexed | 2024-04-09T23:35:55Z |
format | Article |
id | doaj.art-2d3cdeec2d4e432ba0f13f860f7db785 |
institution | Directory Open Access Journal |
issn | 2656-5935 2656-4882 |
language | English |
last_indexed | 2024-04-09T23:35:55Z |
publishDate | 2023-03-01 |
publisher | Informatics Department, Faculty of Computer Science Bina Darma University |
record_format | Article |
series | Journal of Information Systems and Informatics |
spelling | doaj.art-2d3cdeec2d4e432ba0f13f860f7db7852023-03-20T06:49:26ZengInformatics Department, Faculty of Computer Science Bina Darma UniversityJournal of Information Systems and Informatics2656-59352656-48822023-03-015139140610.51519/journalisi.v5i1.461461Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer AlgorithmRicky Perdana Kusuma0Chairun Nas1Universitas Catur Insan CendekiaUniversitas Catur Insan CendekiaThis study aims to address the challenge of diagnosing mental disorders by using an expert system to provide accurate and efficient diagnosis. Mental health is crucial for achieving harmony in life, and the ability to face problems, feel happiness, and maintain positivity are all essential aspects of this. However, diagnosing mental disorders can be difficult and time-consuming, as symptoms may vary depending on the patient's condition and lifestyle. The study utilizes symptom data from 30 patients with 6 types of mental disorders, with each symptom assigned a weighted value of belief for the corresponding disorder. The Dempster Shafer algorithm is then used to process this data and obtain a total confidence value for each disorder. The results show a 97% confidence value for the patient's mental disorder, which can help psychologists make informed decisions and provide appropriate treatment.https://journal-isi.org/index.php/isi/article/view/461expert systemmental disorderdempster shaferbelief |
spellingShingle | Ricky Perdana Kusuma Chairun Nas Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer Algorithm Journal of Information Systems and Informatics expert system mental disorder dempster shafer belief |
title | Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer Algorithm |
title_full | Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer Algorithm |
title_fullStr | Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer Algorithm |
title_full_unstemmed | Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer Algorithm |
title_short | Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer Algorithm |
title_sort | expert system to diagnose mental health disorders using the dempster shafer algorithm |
topic | expert system mental disorder dempster shafer belief |
url | https://journal-isi.org/index.php/isi/article/view/461 |
work_keys_str_mv | AT rickyperdanakusuma expertsystemtodiagnosementalhealthdisordersusingthedempstershaferalgorithm AT chairunnas expertsystemtodiagnosementalhealthdisordersusingthedempstershaferalgorithm |