{"title":"神经模糊技术在商业性工作者宫颈病变筛查中的应用","authors":"Bolaji Efosa Odigie, P. Achukwu, M. E. Bello","doi":"10.1504/IJMEI.2018.10014084","DOIUrl":null,"url":null,"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.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Neuro-fuzzy implementation for cervical lesions screening in commercial sex workers\",\"authors\":\"Bolaji Efosa Odigie, P. Achukwu, M. E. Bello\",\"doi\":\"10.1504/IJMEI.2018.10014084\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":193362,\"journal\":{\"name\":\"Int. J. Medical Eng. Informatics\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Medical Eng. Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMEI.2018.10014084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Medical Eng. Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMEI.2018.10014084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neuro-fuzzy implementation for cervical lesions screening in commercial sex workers
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.
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