Full Text Journal Articles by
Author Serap Ulusam Seckiner

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The Use of Artificial Neural Networks to Determine In-Hospital Mortality After Coronary Artery Bypass Surgery.

Elzem Sen, Serap Ulusam Seckiner,

<h4>Objectives</h4>The aim of this study was to present an artificial neural network (ANN) model for the accurate estimation of in-hospital mortality and to demonstrate the validity of the model with real data and a comparison with conventional multiple linear regression models.<h4>Design</h4>Retrospective clinical study.<h4>Setting</h4>University hospital.<h4>Interventions</h4>None.<h4>Measurements and main results</h4>Data were collected from ... Read more >>

J Cardiothorac Vasc Anesth (Journal of cardiothoracic and vascular anesthesia)
[2021, 35(8):2432-2437]

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Comparing the alternatives for the most favourable personal protective equipment.

Serap Ulusam Seçkiner, Hüseyin Ünal,

Evaluation of personal protective equipment is a very demanding task in designing an effective workplace safety programme. There is variable equipment to prevent job accidents, to protect workers' health and safety and to minimize the damage of any possible accident. Comparing the alternatives for the most favourable equipment, e.g. possible ... Read more >>

Int J Occup Saf Ergon (International journal of occupational safety and ergonomics : JOSE)
[2021, 27(3):921-927]

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A neural network-based algorithm for predicting the spontaneous passage of ureteral stones.

Mehmet Solakhan, Serap Ulusam Seckiner, Ilker Seckiner,

In this study, a prototype artificial neural network model (ANN) was used to estimate the stone passage rate and to determine the effectivity of predictive factors on this rate in patients with ureteral stones. The retrospective study included a total of 192 patients with ureteral stones, comprising 128 (66.7%) men ... Read more >>

Urolithiasis (Urolithiasis)
[2020, 48(6):527-532]

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Use of artificial neural networks in the management of antenatally diagnosed ureteropelvic junction obstruction.

Ilker Seçkiner, Serap Ulusam Seçkiner, Omer Bayrak, Sakıp Erturhan,

<h4>Background</h4>In this study, an artificial neural network (ANN) based system has been developed specifically to help in the management of antenatally diagnosed uretero-pelvic junction (UPJ) obstruction.<h4>Methods</h4>A total of 53 infants with antenatally detected hydronephrosis caused by UPJ obstruction were included in this study. A neural network was developed with the ... Read more >>

Can Urol Assoc J (Canadian Urological Association journal = Journal de l'Association des urologues du Canada)
[2011, 5(6):E152-5]

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Appropriate use of artificial neural networks.

Serap Ulusam Seckiner, Ilker Seckiner,

Urol Int (Urologia internationalis)
[2010, 85(2):247]

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The use of artificial neural networks in decision support in vesicoureteral reflux treatment.

Ilker Seckiner, Serap Ulusam Seckiner, Sakip Erturhan, Ahmet Erbagci, Mehmet Solakhan, Faruk Yagci,

<h4>Aim</h4>To develop a prediction model based on artificial neural networks (ANN) for the treatment selection in vesicoureteral reflux (VUR).<h4>Methods</h4>A total of 96 children with VUR (145 ureteric units (UU)) were treated at our institution during 2004-2006. An ANN based on quick propagation architecture was created with the commercially available software ... Read more >>

Urol Int (Urologia internationalis)
[2008, 80(3):283-286]

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