A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm

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SOLEIMANIAN GHAREHCHOPOGH FARHAD; Mousavi Seyyed Keyvan

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Journal Paper

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Journal: Journal of Health and Biomedical Informatics Year:2019 | Volume:6 | Issue:1 Page(s): 32-45

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Title

A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm

Author(s)

SOLEIMANIAN GHAREHCHOPOGH FARHAD | Mousavi Seyyed Keyvan | Issue Writer Certificate

Keywords

Clinical Decision Support Systems

Diagnosis of disease

Diabetes mellitus

Hepatitis

Particle pool optimization algorithm

Firefly algorithm

Abstract

Introduction: Clinical Decision Support Systems (CDSS) are designed in the form of computer programs that help medical professionals make decisions about disease diagnosis. The main aim of these systems is to assist physicians in diagnosing diseases, in other words, a physician can interact with the system and use them to analyze patient data, diagnose diseases, and other medical activities. Method: This is a descriptive-analytic study. The datasets include 768 records of diabetes with 8 features and 155 records of Hepatitis with 19 features, which were provided by the Global Website of UCI. In this study, the Particle Swarm Optimization (PSO) algorithm was used for Feature Selection (FS) and the Firefly algorithm (FA) was used to classify diabetes and Hepatitis into two healthy and unhealthy classes. 80% of the data was used for training and the remaining (20%) was used for testing. Results: The experiments showed that the accuracy of the PSO and FA for the diabetes dataset was 84. 41% and 82. 08%, respectively. Also, the accuracy of the PSO and FA for the Hepatitis dataset was 81. 84% and 80. 34%, respectively. The accuracy of the proposed model for the diabetes and Hepatitis datasets was 95. 38% and 94. 09%, respectively. Conclusion: According to the results, the proposed model had a lower error rate in diagnosis compared to the PSO and FA. The results of this study can help doctors in timely diagnosis of diabetes and Hepatitis.

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APA: Copy

SOLEIMANIAN GHAREHCHOPOGH, FARHAD, & Mousavi, Seyyed Keyvan. (2019). A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, 6(1 ), 32-45. SID. https://sid.ir/paper/657728/en

Vancouver: Copy

SOLEIMANIAN GHAREHCHOPOGH FARHAD, Mousavi Seyyed Keyvan. A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS[Internet]. 2019;6(1 ):32-45. Available from: https://sid.ir/paper/657728/en

IEEE: Copy

FARHAD SOLEIMANIAN GHAREHCHOPOGH, and Seyyed Keyvan Mousavi, “A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm,” JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, vol. 6, no. 1 , pp. 32–45, 2019, [Online]. Available: https://sid.ir/paper/657728/en

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