Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy
Human papillomavirus (HPV) infection is related to frequent cases of cervical cancer and genital condyloma in humans. Up to now, numerous methods have come into existence for the prevention and treatment of this disease. In this context, this paper aims to help predict the susceptibility of the pati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Big Data and Cognitive Computing |
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| Online Access: | https://www.mdpi.com/2504-2289/3/2/22 |
| _version_ | 1818422620241002496 |
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| author | Augusto Junio Guimarães Paulo Vitor de Campos Souza Vinícius Jonathan Silva Araújo Thiago Silva Rezende Vanessa Souza Araújo |
| author_facet | Augusto Junio Guimarães Paulo Vitor de Campos Souza Vinícius Jonathan Silva Araújo Thiago Silva Rezende Vanessa Souza Araújo |
| author_sort | Augusto Junio Guimarães |
| collection | DOAJ |
| description | Human papillomavirus (HPV) infection is related to frequent cases of cervical cancer and genital condyloma in humans. Up to now, numerous methods have come into existence for the prevention and treatment of this disease. In this context, this paper aims to help predict the susceptibility of the patient to forms treatment using both cryotherapy and immunotherapy. These studies facilitate the choice of medications, which can be painful and embarrassing for patients who have warts on intimate parts. However, the use of intelligent models generates efficient results but does not allow a better interpretation of the results. To solve the problem, we present the method of a fuzzy neural network (FNN). A hybrid model capable of solving complex problems and extracting knowledge from the database will pruned through F-score techniques to perform pattern classification in the treatment of warts, and to produce a specialist system based on if/then rules, according to the experience obtained from the database collected through medical research. Finally, binary pattern-classification tests realized in the FNN and compared with other models commonly used for classification tasks capture results of greater accuracy than the current state of the art for this type of problem (84.32% for immunotherapy, and 88.64% for cryotherapy), and extract fuzzy rules from the problem database. It was found that the hybrid approach based on neural networks and fuzzy systems can be an excellent tool to aid the prediction of cryotherapy and immunotherapy treatments. |
| first_indexed | 2024-12-14T13:29:09Z |
| format | Article |
| id | doaj.art-ba7ee0a6161a42f694b05b3ada27b157 |
| institution | Directory Open Access Journal |
| issn | 2504-2289 |
| language | English |
| last_indexed | 2024-12-14T13:29:09Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj.art-ba7ee0a6161a42f694b05b3ada27b1572022-12-21T22:59:45ZengMDPI AGBig Data and Cognitive Computing2504-22892019-04-01322210.3390/bdcc3020022bdcc3020022Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and ImmunotherapyAugusto Junio Guimarães0Paulo Vitor de Campos Souza1Vinícius Jonathan Silva Araújo2Thiago Silva Rezende3Vanessa Souza Araújo4Information Systems Course—Centro Universitário UNA de Betim, Betim 32600216, BrazilInformation Systems Course—Centro Universitário UNA de Betim, Betim 32600216, BrazilInformation Systems Course—Centro Universitário UNA de Betim, Betim 32600216, BrazilInformation Systems Course—Centro Universitário UNA de Betim, Betim 32600216, BrazilInformation Systems Course—Centro Universitário UNA de Betim, Betim 32600216, BrazilHuman papillomavirus (HPV) infection is related to frequent cases of cervical cancer and genital condyloma in humans. Up to now, numerous methods have come into existence for the prevention and treatment of this disease. In this context, this paper aims to help predict the susceptibility of the patient to forms treatment using both cryotherapy and immunotherapy. These studies facilitate the choice of medications, which can be painful and embarrassing for patients who have warts on intimate parts. However, the use of intelligent models generates efficient results but does not allow a better interpretation of the results. To solve the problem, we present the method of a fuzzy neural network (FNN). A hybrid model capable of solving complex problems and extracting knowledge from the database will pruned through F-score techniques to perform pattern classification in the treatment of warts, and to produce a specialist system based on if/then rules, according to the experience obtained from the database collected through medical research. Finally, binary pattern-classification tests realized in the FNN and compared with other models commonly used for classification tasks capture results of greater accuracy than the current state of the art for this type of problem (84.32% for immunotherapy, and 88.64% for cryotherapy), and extract fuzzy rules from the problem database. It was found that the hybrid approach based on neural networks and fuzzy systems can be an excellent tool to aid the prediction of cryotherapy and immunotherapy treatments.https://www.mdpi.com/2504-2289/3/2/22pruning fuzzy neural networkexpert systemsimmunotherapycryotherapy |
| spellingShingle | Augusto Junio Guimarães Paulo Vitor de Campos Souza Vinícius Jonathan Silva Araújo Thiago Silva Rezende Vanessa Souza Araújo Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy Big Data and Cognitive Computing pruning fuzzy neural network expert systems immunotherapy cryotherapy |
| title | Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy |
| title_full | Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy |
| title_fullStr | Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy |
| title_full_unstemmed | Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy |
| title_short | Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy |
| title_sort | pruning fuzzy neural network applied to the construction of expert systems to aid in the diagnosis of the treatment of cryotherapy and immunotherapy |
| topic | pruning fuzzy neural network expert systems immunotherapy cryotherapy |
| url | https://www.mdpi.com/2504-2289/3/2/22 |
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