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

Duygu Busra Aydın; Orhan Er

EN

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

Abstract

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.

Keywords

Urinary tract infection,New-born,artificial neural network,medical diagnosis,classification

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Duygu Busra Aydın ^*
Türkiye

Orhan Er
Türkiye

Publication Date

April 2, 2018

Submission Date

January 17, 2018

Acceptance Date

February 21, 2018

Published in Issue

Year 2018 Volume: 1 Number: 1

IZ

https://izlik.org/JA26XU29ZP

Cite

RIS / Bibtex

APA

Aydın, D. B., & Er, O. (2018). A new proposal for early stage diagnosis of urinary tract infection using computers aid systems. Sakarya University Journal of Computer and Information Sciences, 1(1), 1-9. https://izlik.org/JA26XU29ZP

AMA

1.Aydın DB, Er O. A new proposal for early stage diagnosis of urinary tract infection using computers aid systems. SAUCIS. 2018;1(1):1-9. https://izlik.org/JA26XU29ZP

Chicago

Aydın, Duygu Busra, and Orhan Er. 2018. “A New Proposal for Early Stage Diagnosis of Urinary Tract Infection Using Computers Aid Systems”. Sakarya University Journal of Computer and Information Sciences 1 (1): 1-9. https://izlik.org/JA26XU29ZP.

EndNote

Aydın DB, Er O (April 1, 2018) A new proposal for early stage diagnosis of urinary tract infection using computers aid systems. Sakarya University Journal of Computer and Information Sciences 1 1 1–9.

IEEE

[1]D. B. Aydın and O. Er, “A new proposal for early stage diagnosis of urinary tract infection using computers aid systems”, SAUCIS, vol. 1, no. 1, pp. 1–9, Apr. 2018, [Online]. Available: https://izlik.org/JA26XU29ZP

ISNAD

Aydın, Duygu Busra - Er, Orhan. “A New Proposal for Early Stage Diagnosis of Urinary Tract Infection Using Computers Aid Systems”. Sakarya University Journal of Computer and Information Sciences 1/1 (April 1, 2018): 1-9. https://izlik.org/JA26XU29ZP.

JAMA

1.Aydın DB, Er O. A new proposal for early stage diagnosis of urinary tract infection using computers aid systems. SAUCIS. 2018;1:1–9.

MLA

Aydın, Duygu Busra, and Orhan Er. “A New Proposal for Early Stage Diagnosis of Urinary Tract Infection Using Computers Aid Systems”. Sakarya University Journal of Computer and Information Sciences, vol. 1, no. 1, Apr. 2018, pp. 1-9, https://izlik.org/JA26XU29ZP.

Vancouver

1.Duygu Busra Aydın, Orhan Er. A new proposal for early stage diagnosis of urinary tract infection using computers aid systems. SAUCIS [Internet]. 2018 Apr. 1;1(1):1-9. Available from: https://izlik.org/JA26XU29ZP