A new proposal for early stage diagnosis of urinary tract infection using computers aid systems

Duygu Busra AYDIN; Orhan ER

Makale detayları

A new proposal for early stage diagnosis of urinary tract infection using computers aid systems

Yazarlar:

Duygu Busra AYDIN | Orhan ER

Ana Başlıklar:

Veri işleme & bilgisayar bilimi

Dergi:

Sakarya University Journal of Computer and Information Sciences 2018 Vol.1 Issue 1, pp.1-9

Belge Tipi:

Makale

Yayın Tarihi:

4/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000552199

Özet:

 

Hundreds of newborns everyday are affected by urinary tract infection worldwide. Urinary tract infection can cause serious illness over the long term. Early diagnosis is crucial for the treatment of the disease and the health of the newborn baby. In this study, a decision support system was established for the preliminary diagnosis of whether the newborn who was infected with urinary tract. For this purpose, artificial neural network methods and other bioinformatics techniques for comparison were used. Tests conducted with artificial neural networks resulted in: The probabilistic neural network method gave the best result for the test with 91.4251 ratio, whereas the multilayer neural network method showed the best result with 98.9130 ratio in training. Thus, it has been shown that the classification process with accuracy rate that can be considered important in the use of flexible computation and bioinformatics techniques in diagnosing urinary tract infections in newborn infants is successful.

Makale detayları

A new proposal for early stage diagnosis of urinary tract infection using computers aid systems

Yazarlar: Duygu Busra AYDIN | Orhan ER

Ana Başlıklar: Veri işleme & bilgisayar bilimi

Dergi: Sakarya University Journal of Computer and Information Sciences 2018 Vol.1 Issue 1, pp.1-9

Belge Tipi: Makale

Yayın Tarihi: 4/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000552199

Sayı

Yazarlar:

Duygu Busra AYDIN | Orhan ER

Ana Başlıklar:

Veri işleme & bilgisayar bilimi

Dergi:

Sakarya University Journal of Computer and Information Sciences 2018 Vol.1 Issue 1, pp.1-9

Belge Tipi:

Makale

Yayın Tarihi:

4/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000552199