Automated Diagnosis of Hepatitis B Using Multilayer Mamdani Fuzzy Inference System
Joint Authors
Khan, Muhammad Adnan
Abbas, Sagheer
Athar, Atifa
Ahmad, Gulzar
Khan, Bilal Shoaib
Aslam, Muhammad Shoukat
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this research, a new multilayered mamdani fuzzy inference system (Ml-MFIS) is proposed to diagnose hepatitis B.
The proposed automated diagnosis of hepatitis B using multilayer mamdani fuzzy inference system (ADHB-ML-MFIS) expert system can classify the different stages of hepatitis B such as no hepatitis, acute HBV, or chronic HBV.
The expert system has two input variables at layer I and seven input variables at layer II.
At layer I, input variables are ALT and AST that detect the output condition of the liver to be normal or to have hepatitis or infection and/or other problems.
The further input variables at layer II are HBsAg, anti-HBsAg, anti-HBcAg, anti-HBcAg-IgM, HBeAg, anti-HBeAg, and HBV-DNA that determine the output condition of hepatitis such as no hepatitis, acute hepatitis, or chronic hepatitis and other reasons that arise due to enzyme vaccination or due to previous hepatitis infection.
This paper presents an analysis of the results accurately using the proposed ADHB-ML-MFIS expert system to model the complex hepatitis B processes with the medical expert opinion that is collected from the Pathology Department of Shalamar Hospital, Lahore, Pakistan.
The overall accuracy of the proposed ADHB-ML-MFIS expert system is 92.2%.
American Psychological Association (APA)
Ahmad, Gulzar& Khan, Muhammad Adnan& Abbas, Sagheer& Athar, Atifa& Khan, Bilal Shoaib& Aslam, Muhammad Shoukat. 2019. Automated Diagnosis of Hepatitis B Using Multilayer Mamdani Fuzzy Inference System. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1175292
Modern Language Association (MLA)
Athar, Atifa…[et al.]. Automated Diagnosis of Hepatitis B Using Multilayer Mamdani Fuzzy Inference System. Journal of Healthcare Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1175292
American Medical Association (AMA)
Ahmad, Gulzar& Khan, Muhammad Adnan& Abbas, Sagheer& Athar, Atifa& Khan, Bilal Shoaib& Aslam, Muhammad Shoukat. Automated Diagnosis of Hepatitis B Using Multilayer Mamdani Fuzzy Inference System. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1175292
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175292