Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper

-

November Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the November 2021 Edition of the journal. The last date of research paper submission is October 15, 2021.

Fuzzy Evaluation of Sore Throat Infection

Olusola Olajide Ajayi, Adedamola Emmanuella Adetimehin, Olugbenga Samuel Daso, Olufunmilayo Paulina Akinniyi in Fuzzy Systems

International Journal of Applied Information Systems
Year of Publication: 2019
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Olusola Olajide Ajayi, Adedamola Emmanuella Adetimehin, Olugbenga Samuel Daso, Olufunmilayo Paulina Akinniyi
10.5120/ijais2019451804
Download full text
  1. Olusola Olajide Ajayi, Adedamola Emmanuella Adetimehin, Olugbenga Samuel Daso and Olufunmilayo Paulina Akinniyi. Fuzzy Evaluation of Sore Throat Infection. International Journal of Applied Information Systems 12(21):19-25, June 2019. URL, DOI BibTeX

    @article{10.5120/ijais2019451804,
    	author = "Olusola Olajide Ajayi and Adedamola Emmanuella Adetimehin and Olugbenga Samuel Daso and Olufunmilayo Paulina Akinniyi",
    	title = "Fuzzy Evaluation of Sore Throat Infection",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "June, 2019",
    	volume = 12,
    	number = 21,
    	month = "June",
    	year = 2019,
    	issn = "2249-0868",
    	pages = "19-25",
    	url = "http://www.ijais.org/archives/volume12/number21/1056-2019451804",
    	doi = "10.5120/ijais2019451804",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

Sore throat has been viewed as a minor ailment, hence, less interest has been shown in its evaluation. Sore throats can either be acute or chronic. Various orthodox means exist for attending to sore throat infection. Medically, various means of diagnosis sore throat infection also avails. The predictability power of soft-computing techniques extends their tentacle to bioinformatics and medical computations. Literature search however shows no work on assessment of sore throat. This prompted this study which made use of Fuzzy Inference System approach to evaluate sore throat through the use of simulated data relating to the symptoms associated with Sore throat. The inputs (symptoms) and outputs (diseases) were fed into the MATLAB toolbox, and the fuzzy properties set. Twenty-one rules were formed to determine the end result of the diagnosed sore throat infection which can be a pointer to certain kind of sickness/disease. Fuzzy process on the simulated data shows that sore throat can infer a symptom to a kind of disease. The results proved that Fuzzy Inference System can successfully evaluate sore throat infection.

Reference

  1. Akinyokun O.C, Iwasokun G.B: Fuzzy logic driven expert system for the diagnosis of heart failure disease. Artificial Intelligence research 2015, Volume 4, No 1.
  2. Ali Adeli, Mehdi Neshat,” A fuzzy Expert System for Heart Disease Diagnosis” Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, Volume-1, IMECS, 2010
  3. Cohen JF, Bertille N, Cohen R.: Rapid antigen detection test for group A streptococcus in children with pharyngitis. Cochrane Database Syst Rev. 2016 Jul 4 7:CD010502. doi: 10.1002/14651858.CD010502.pub2
  4. E. P. Ephzibah, Dr. Sundarapandipan: A Neuro-Fuzzy Expert System for Heart disease diagnosis, CSEIJ, Volume 2, No.1.February 2012.
  5. Farlex Medical Dictionary, 2012
  6. McNally D, Shephard A, Field E: Randomised, double-blind, placebo-controlled study of a single dose of an amylmetacresol/2,4-dichlorobenzyl alcohol plus lidocaine lozenge or a hexylresorcinol lozenge for the treatment of acute sore throat due to upper respiratory tract infection. J Pharm Sci. 2012 15(2):281-94.
  7. Nidhi Bhatla, KiranJyoti: A novel Approach for Heart disease diagnosis using Data Mining and Fuzzy logic, International Journal of Computer Application, 0975-8887, Volume 54, No.17, September 2012.
  8. Oxford JS, Leuwer M: Acute sore throat revisited: clinical and experimental evidence for the efficacy of over-the-counter AMC/DCBA throat lozenges. Int. J. Clin. Pract. 2011 May 65(5):524-30. doi: 10.1111/j.1742-1241.2011.02644.x.
  9. Pelucchi C, Grigoryan L, Galeone C.: Guideline for the management of acute sore throat. Clin Microbiol Infect. 2012 Apr 18 Suppl. 1:1-28. doi: 10.1111/j.1469-0691.2012.03766.x.
  10. Phuong, Nguyen Hoang and Kreinovich, Vladik: Fuzzy Logic and its Applications in Medicine (2000). Departmental Technical Reports (CS). Paper 498.
  11. Priyanka Sharma, DBV Singh, M.K.Bandil, Nidhi Mishra: Decision Support System for Malaria and Dengue Disease Diagnosis, (IJICT), ISSN: 0974-2239, Volume-3, Number 7, 2013, pp-633-640
  12. Purling GK, Del Mar CB, Dooley L.: Delayed antibiotics for respiratory infections. Cochrane Database Syst Rev. 2013 Apr 30 (4):CD004417. doi: 10.1002/14651858.CD004417.pub4.
  13. Spinks A, Glasziou PP, Del Mar CB: Antibiotics for sore throat. Cochrane Database Syst Rev. 2013 Nov 5 11:CD000023.
  14. Spurling G.K, Del Mar C.B, Dooley L: Delayed antibiotics for respiratory infections. Cochrane Database Syst Rev, 2013
  15. The American Heritage Medical Dictionary, 2007
  16. Vishal Chandra, Pinki Singh: Fuzzy Based High Blood pressure Diagnosis, IJARCST, Volume 2, Issue 2, April-June 2014, ISSN: 2347-9817.
  17. X. Y. Djam, G. M. Wajiga, Y. H. Kimbi: A fuzzy Expert System for the Management of Malaria” International Journal of Pure and Applied Sciences and Technology. 5(2), 2011, pp-84-108
  18. Y. Niranjana Devi, S. Anto: An Evolutionary Fuzzy Expert System for the Diagnosis of Coronary Heart Disease” IJARCET, Volume-3, Issue4, April 2014

Keywords

Sore throat, evaluation, fuzzy, inference engine, diagnosis, rule base, simulated, soft-computing, bioinformatics, MATLAB, infection