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...

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Main Authors: Ricky Perdana Kusuma, Chairun Nas
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2023-03-01
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.
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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