Prediction of the Success of Wart Treatment Methods

Rukiye UZUN ARSLAN, (Bülent Ecevit Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Zonguldak, Türkiye)
Yalçın İŞLER, (İzmir Katip Çelebi Üniversitesi, Mühendislik Fakültesi, Biyomedikal Mühendisliği Bölümü, İzmir, Türkiye)
Mualla TOKSAN (Bülent Ecevit Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Zonguldak, Türkiye)
Karaelmas Fen ve Mühendislik Dergisi
5 0
Yıl: 2020 Cilt: 10 Sayı: 1 Sayfa Aralığı: 44 - 52 Metin Dili: İngilizce DOI: 10.7212/zkufbd.v10i1.1496 İndeks Tarihi: 21-05-2021

Prediction of the Success of Wart Treatment Methods

Öz:
The wart is a dermatosis originated by Human Papilloma Virus. People can be infected by direct or indirect contact. Almost all age groups, especially children and young adults suffer from warts. Recently, new treatment methods including cryotherapy and immunotherapy have been developed as alternatives to conventional methods. Although the treatment decision process is very important, there is no validated decision strategy yet except for only a few studies. In this study, an expert system is proposed to predict whether the selected wart treatment method will be successful or not. The publicly available datasets are applied to the Multi-Layer Perceptron and the Extreme Learning Machine classification algorithms. We compute the classifier performances by the 10-fold cross-validation method. As a result, the multi-layer perceptron approach results in 78.95% of sensitivity, 98.60% of specificity, and 94.45% of accuracy to predict the success of a wart treatment method.
Anahtar Kelime:

Siğil Tedavi Yöntemlerinin Başarısının Tahmini

Öz:
Siğil, insanlara doğrudan veya dolaylı temastan bulaşabilen human papilloma virüsü kaynaklı bir cilt hastalığıdır. Neredeyse tümyaş grupları, özellikle çocuklar ve genç yetişkinler siğile katlanmaktadır. Son zamanlarda, geleneksel yöntemlere alternatif olarakkriyoterapi ve immünoterapi gibi yeni tedavi yöntemleri geliştirilmiştir. Tedavi karar süreci çok önemli olmasına rağmen, sadece birkaççalışma dışında henüz geçerliliği kabul edilen bir karar stratejisi yoktur. Bu çalışmada, seçilen siğil tedavisi yönteminin başarılı olupolmayacağını tahmin etmek için uzman bir sistem önerilmiştir. Açık erişime sahip veri setleri, Çok Katmanlı Algılayıcı ve AşırıÖğrenme Makinesi sınıflandırma algoritmalarına uygulanmıştır. Sınıflandırıcı performansını 10 kat çapraz doğrulama yöntemiylehesaplanmıştır. Sonuç olarak, önerilen çok katmanlı algılayıcı yaklaşımının, siğil tedavisi yönteminin başarısını tahmin etmede %78,95duyarlılık, %98,60 özgüllük ve %94,45 hassasiyete sahip olduğu tespit edilmiştir.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA ARSLAN R, İŞLER Y, TOKSAN M (2020). Prediction of the Success of Wart Treatment Methods. , 44 - 52. 10.7212/zkufbd.v10i1.1496
Chicago ARSLAN Rukiye UZUN,İŞLER Yalçın,TOKSAN Mualla Prediction of the Success of Wart Treatment Methods. (2020): 44 - 52. 10.7212/zkufbd.v10i1.1496
MLA ARSLAN Rukiye UZUN,İŞLER Yalçın,TOKSAN Mualla Prediction of the Success of Wart Treatment Methods. , 2020, ss.44 - 52. 10.7212/zkufbd.v10i1.1496
AMA ARSLAN R,İŞLER Y,TOKSAN M Prediction of the Success of Wart Treatment Methods. . 2020; 44 - 52. 10.7212/zkufbd.v10i1.1496
Vancouver ARSLAN R,İŞLER Y,TOKSAN M Prediction of the Success of Wart Treatment Methods. . 2020; 44 - 52. 10.7212/zkufbd.v10i1.1496
IEEE ARSLAN R,İŞLER Y,TOKSAN M "Prediction of the Success of Wart Treatment Methods." , ss.44 - 52, 2020. 10.7212/zkufbd.v10i1.1496
ISNAD ARSLAN, Rukiye UZUN vd. "Prediction of the Success of Wart Treatment Methods". (2020), 44-52. https://doi.org/10.7212/zkufbd.v10i1.1496
APA ARSLAN R, İŞLER Y, TOKSAN M (2020). Prediction of the Success of Wart Treatment Methods. Karaelmas Fen ve Mühendislik Dergisi, 10(1), 44 - 52. 10.7212/zkufbd.v10i1.1496
Chicago ARSLAN Rukiye UZUN,İŞLER Yalçın,TOKSAN Mualla Prediction of the Success of Wart Treatment Methods. Karaelmas Fen ve Mühendislik Dergisi 10, no.1 (2020): 44 - 52. 10.7212/zkufbd.v10i1.1496
MLA ARSLAN Rukiye UZUN,İŞLER Yalçın,TOKSAN Mualla Prediction of the Success of Wart Treatment Methods. Karaelmas Fen ve Mühendislik Dergisi, vol.10, no.1, 2020, ss.44 - 52. 10.7212/zkufbd.v10i1.1496
AMA ARSLAN R,İŞLER Y,TOKSAN M Prediction of the Success of Wart Treatment Methods. Karaelmas Fen ve Mühendislik Dergisi. 2020; 10(1): 44 - 52. 10.7212/zkufbd.v10i1.1496
Vancouver ARSLAN R,İŞLER Y,TOKSAN M Prediction of the Success of Wart Treatment Methods. Karaelmas Fen ve Mühendislik Dergisi. 2020; 10(1): 44 - 52. 10.7212/zkufbd.v10i1.1496
IEEE ARSLAN R,İŞLER Y,TOKSAN M "Prediction of the Success of Wart Treatment Methods." Karaelmas Fen ve Mühendislik Dergisi, 10, ss.44 - 52, 2020. 10.7212/zkufbd.v10i1.1496
ISNAD ARSLAN, Rukiye UZUN vd. "Prediction of the Success of Wart Treatment Methods". Karaelmas Fen ve Mühendislik Dergisi 10/1 (2020), 44-52. https://doi.org/10.7212/zkufbd.v10i1.1496
Sayfa Oluşturulma Tarihi
23-04-2024 17:49

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