CLASSIFICATION OF HYPOTHYROID DISEASE WITH EXTREME LEARNING MACHINE MODEL

İpek BALIKÇI ÇİÇEK; Zeynep KÜÇÜKAKÇALI

Makale detayları

CLASSIFICATION OF HYPOTHYROID DISEASE WITH EXTREME LEARNING MACHINE MODEL

Yazarlar:

İpek BALIKÇI ÇİÇEK | Zeynep KÜÇÜKAKÇALI

Yayıncı:

İstanbul Technical University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

The Journal of Cognitive Systems 2020 Vol.5 Issue 2, pp.64-68

Belge Tipi:

Makale

Yayın Tarihi:

12/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000664768

Sıklık:

İki Yıllık

pISSN:

2548-0650

Özet:

 

Aim: Bu In this study, it is aimed to classify hypothyroidism by applying the Extreme Learning Machine model, which is one of the artificial neural network models, on the open access Hypothyroid dataset.

Materials and Methods: In this study, the data set named "Hypothyroid Disease Data Set" was obtained from https://www.kaggle.com/nguyenthilua/hypothyroidcsv. Extreme Learning Machine model, one of the artificial neural network models, was used to classify hypothyroidism. The classification performance of the model was evaluated with classification performance criteria such as accuracy, balanced accuracy, sensitivity, specificity, positive predictive value, negative predictive value and F1-score.

Results: The accuracy obtained from the model was calculated as 0.922, balanced accuracy 0.523, sensitivity 1, specificity 0.047, positive predictive value 0.922, negative predictive value 1 and F1-score 0.959.  

Conclusion: The findings obtained from this study showed that the extreme learning machine model used gave successful predictions in the classification of hypothyroidism.

Makale detayları

CLASSIFICATION OF HYPOTHYROID DISEASE WITH EXTREME LEARNING MACHINE MODEL

Yazarlar: İpek BALIKÇI ÇİÇEK | Zeynep KÜÇÜKAKÇALI

Yayıncı: İstanbul Technical University

Ana Başlıklar: Uygulamalı fizik

Dergi: The Journal of Cognitive Systems 2020 Vol.5 Issue 2, pp.64-68

Belge Tipi: Makale

Yayın Tarihi: 12/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000664768

Sıklık: İki Yıllık

pISSN: 2548-0650

Sayı

Yazarlar:

İpek BALIKÇI ÇİÇEK | Zeynep KÜÇÜKAKÇALI

Yayıncı:

İstanbul Technical University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

The Journal of Cognitive Systems 2020 Vol.5 Issue 2, pp.64-68

Belge Tipi:

Makale

Yayın Tarihi:

12/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000664768

Sıklık:

İki Yıllık

pISSN:

2548-0650