Title: Neuro-fuzzy implementation for cervical lesions screening in commercial sex workers

Authors: Bolaji Efosa Odigie; Peter Uwadiegwu Achukwu; Moses Eromosele Bello

Addresses: Department of Medical Laboratory Science, School of Basic Medical Sciences, University of Benin, Nigeria Department of Medical Laboratory Science, Faculty of Health Sciences and Technology, University of Nigeria, Enugu Campus, Nigeria ' Department of Medical Laboratory Science, Faculty of Health Sciences and Technology, University of Nigeria, Enugu Campus, Nigeria ' Department of Computer Science, Faculty of Physical Sciences, University of Benin, Nigeria

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.

Keywords: adaptive neuro-fuzzy inference system; ANFIS; cervical lesions; commercial sex workers; CSWs; liquid-based cytology; LBC.

DOI: 10.1504/IJMEI.2018.095084

International Journal of Medical Engineering and Informatics, 2018 Vol.10 No.4, pp.342 - 358

Received: 25 Mar 2017
Accepted: 23 May 2017
Published online: 01 Oct 2018 *

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