Yazar "E-3717-2019" için listeleme
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Detection of COVID-19 by Machine Learning Using Routine Laboratory Tests
Cubukcu, Hikmet Can; Topcu, Deniz Ilhan; Bayraktar, Nilufer; Gulsen, Murat; Sari, Nuran; Arslan, Ayse Hande (2021)Objectives The present study aimed to develop a clinical decision support tool to assist coronavirus disease 2019 (COVID-19) diagnoses with machine learning (ML) models using routine laboratory test results. Methods We ... -
The effect of jet-lag on serum concentrations of thyroid stimulating hormone and prolactin: A case report
Gungoren, Merve Sibel; Topcu, Deniz Ilhan; Zungun, Cevdet (2020)Introduction: This case report is about the importance of sleeping status for analysis of thyroid hormone stimulating hormone (TSH) and prolactin (PRL) which arose from discordant results of a patient who was referred for ... -
Effect of rosuvastatin on spatial learning, memory, and anxiety-like behaviour in ovariectomized rats
Emre-Aydingoz, Selda; Lux, Karl Michael; Efe, Oguzhan Ekin; Topcu, Deniz Ilhan; Erdem, Saban Remzi (2022)The effect of rosuvastatin (Ros) on cognitive function and anxiety-like behaviour in ovariectomized rats were evaluated. Eighteen female Wistar rats (218-310g, 6-8 months old) were allocated into sham (n = 6), ovariectomy ... -
Estimation of Low-Density Lipoprotein Cholesterol Concentration Using Machine Learning
Cubukcu, Hikmet Can; Topcu, Deniz İlhan (2021)Objective Low-density lipoprotein cholesterol (LDL-C) can be estimated using the Friedewald and Martin-Hopkins formulas. We developed LDL-C prediction models using multiple machine learning methods and investigated the ... -
The Impact of Serum 25-Hydroxyvitamin D3 Levels on Allergic Rhinitis
Coban, Kubra; Oz, Isilay; Topcu, Deniz Ilhan; Aydin, Erdinc (2019)We aimed to clarify the relation between allergic rhinitis and the serum levels of 25-hydroxivitamin D in the adult population. The study group consisted of 86 patients with allergic rhinitis who were diagnosed with the ... -
A Model to Establish Autoverification in the Clinical Laboratory
Topcu, Deniz Ilhan; Gulbahar, Ozlem (2021)Objectives: Autoverification is the process of evaluating and validating laboratory results using predefined computer-based algorithms without human interaction. By using autoverification, all reports are validated according ... -
Peri-Implant Crevicular Fluid And Serum Levels Of Soluble ST2 In Peri-Implant Diseases: A Pilot Study
Ozgur, Engin; Topcu, Deniz Ilhan; Bayraktar, Nilufer; Alptekin, Nilgun Ozlem (2022)Background and ObjectiveSoluble ST2 (sST2) is a current biomarker of cardiovascular disease. It is used to predict susceptibility to cardiovascular diseases and to analyze their prognosis. Serum sST2 level increases in ... -
Searching For The Urine Osmolality Surrogate: An Automated Machine Learning Approach
Topcu, Deniz Ilhan; Bayraktar, Nilufer (2022)Objectives Automated machine learning (AutoML) tools can help clinical laboratory professionals to develop machine learning models. The objective of this study was to develop a novel formula for the estimation of urine ... -
Serum growth differentiation factor-15 analysis as a malnutrition marker in hemodialysis patients
Turgut, Didem; Topcu, Deniz Ilhan; Alperen, Cemile Cansu; Baskin, Esra (2021)Background/aim: Growth differentiation factor (GDF)-15 is related to inflammation and mortality in many conditions. We aimed to determine if an elevated serum GDF-15 level is related to nutritional status of patients on ...