Fuzzy logic approach for infectious disease diagnosis: A methodical evaluation, literature and classification

• Autorzy: Arji Goli , Ahmadi Hossein , Nilashi Mehrbakhsh , Rashid Tarik A. , Hassan Ahmed Omed , Aljojo Nahla , Zainol Azida

Identyfikatory

DOI

10.1016/j.bbe.2019.09.004

• Języki publikacji: EN

Abstrakty

EN

This paper presents a systematic review of the literature and the classification of fuzzy logic application in an infectious disease. Although the emergence of infectious diseases and their subsequent spread have a significant impact on global health and economics, a comprehensive literature evaluation of this topic has yet to be carried out. Thus, the current study encompasses the first systematic, identifiable and comprehensive academic literature evaluation and classification of the fuzzy logic methods in infectious diseases. 40 papers on this topic, which have been published from 2005 to 2019 and related to the human infectious diseases were evaluated and analyzed. The findings of this evaluation clearly show that the fuzzy logic methods are vastly used for diagnosis of diseases such as dengue fever, hepatitis and tuberculosis. The key fuzzy logic methods used for the infectious disease are the fuzzy inference system; the rule-based fuzzy logic, Adaptive Neuro-Fuzzy Inference System (ANFIS) and fuzzy cognitive map. Furthermore, the accuracy, sensitivity, specificity and the Receiver Operating Characteristic (ROC) curve were universally applied for a performance evaluation of the fuzzy logic techniques. This thesis will also address the various needs between the different industries, practitioners and researchers to encourage more research regarding the more overlooked areas, and it will conclude with several suggestions for the future infectious disease researches.

Słowa kluczowe

EN

literature review; fuzzy logic; disease diagnosis; Infectious disease; communicable disease

PL

przegląd piśmiennictwa; logika rozmyta; rozpoznanie choroby; choroba zakaźna

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2019
• Tom: Vol. 39, no. 4
• Strony: 937--955
• Opis fizyczny: Bibliogr. 85 poz., rys., tab., wykr.

Twórcy

autor

Arji Goli

• School of Nursing and Midwifery, Health Information Technology Department, Saveh University of Medical Sciences, Iran

autor

Ahmadi Hossein

• Halal Research Center of IRI, FDA, Tehran, Iran; Department of Information Technology, University of Human Development, Sulaymaniyah, Iraq

autor

Nilashi Mehrbakhsh

• Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam; Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

autor

Rashid Tarik A.

• Computer Science and Engineering Department, University of Kurdistan Hewler, Erbil, Kurdistan, Iraq

autor

Hassan Ahmed Omed

• School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, United Kingdom; University of Human Development, College of Science and Technology, Department of Information Technology, Sulaymaniyah, Iraq

autor

Aljojo Nahla

• College of Computer Science and Engineering, Department of Information Systems and Technology, University of Jeddah, Jeddah, Saudi Arabia

autor

Zainol Azida

• Department of Software Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).