Neuro-fuzzy implementation for cervical lesions screening in commercial sex workers Online publication date: Mon, 01-Oct-2018
by Bolaji Efosa Odigie; Peter Uwadiegwu Achukwu; Moses Eromosele Bello
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 10, No. 4, 2018
Abstract: This study proposed a neuro-fuzzy model for cervical lesions (CL) detection in commercial sex workers. Our aim is to formulate an understandable and practicable model for CL screening of commercial sex workers (CSWs) operating in rural communities in Edo State, Nigeria. The specific objective is to confirm the levels of precision of the neuro-fuzzy model using liquid-based cytology (LBC) method. The adaptive neuro-fuzzy inference system (ANFIS) implementation was used for screening and LBC techniques for confirmation of the ANFIS outcomes. The classification performance of ANFIS model had 98.7% precision with a training error of 1.1652 and basic testing error 1.255. LBC showed eight cases of CL (15.4%) from 259 prostitutes and was age and duration of commercial sex-dependent (P < 0.05). The present ANFIS implemented model is excellent for routine screening of the CSWs, while LBC remains a gold standard for CL diagnosis worldwide.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook