Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Tülin Öztaş

Biographic Data

ID8256253
NAMETülin Öztaş
GIVEN NAMESTülin
FAMILY NAMEÖztaş
SIGNATUREÖZTAŞ T
AFFILIATIONSDiyarbakır Gazi Yaşargil Eğitim ve Araştırma Hastanesi
ORCID0000-0002-1010-3324
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Hematologic Inflammatory Indices Predict Mortality in Surgical Necrotizing Enterocolitis Among Premature Infants

    Open Access•Ahmet Dursun, İpek Kocaoglu et al.•ARTICLE•Children•2026

    Background/Objectives : Necrotizing enterocolitis (NEC) is one of the most devastating gastrointestinal emergencies in premature neonates, with particularly high mortality among those requiring surgical intervention. Early identification of high-risk patients remains challenging. This study aimed to evaluate the prognostic value of complete blood count-derived inflammatory indices for predicting mortality in premature infants undergoing surgery f…

  • Neurodevelopmental Outcomes in Newborns with Congenital Gastrointestinal Atresias

    Open Access•Duygu Tunçel, Şenay Güven Baysal et al.•ARTICLE•Children•2025

    Patients with congenital gastrointestinal malformations are reported in the literature to have lower motor and language development scores. In our study, lower cognitive and language scores were observed in only one patient, whereas motor delay was more prevalent in the study population. The close neurodevelopmental follow-up of infants with gastrointestinal atresies may improve the quality of life

  • Diagnostic Accuracy of a Machine Learning-Derived Appendicitis Score in Children

    Open Access•Emrah Aydın, Taha Eren Sarnıç et al.•ARTICLE•Children•2025

    Background : Accurate diagnosis of acute appendicitis in children remains challenging due to variable presentations and limitations of existing clinical scoring systems. While machine learning (ML) offers a promising approach to enhance diagnostic precision, most prior studies have been limited by small sample sizes, single-center data, or a lack of external validation. Methods : This prospective, multicenter study included 8586 pediatric patient…

No prominent works on this page.

  • Neurodevelopmental Outcomes in Newborns with Congenital Gastrointestinal Atresias

    Open Access•Duygu Tunçel, Şenay Güven Baysal et al.•ARTICLE•Children•2025

    Patients with congenital gastrointestinal malformations are reported in the literature to have lower motor and language development scores. In our study, lower cognitive and language scores were observed in only one patient, whereas motor delay was more prevalent in the study population. The close neurodevelopmental follow-up of infants with gastrointestinal atresies may improve the quality of life

  • Diagnostic Accuracy of a Machine Learning-Derived Appendicitis Score in Children

    Open Access•Emrah Aydın, Taha Eren Sarnıç et al.•ARTICLE•Children•2025

    Background : Accurate diagnosis of acute appendicitis in children remains challenging due to variable presentations and limitations of existing clinical scoring systems. While machine learning (ML) offers a promising approach to enhance diagnostic precision, most prior studies have been limited by small sample sizes, single-center data, or a lack of external validation. Methods : This prospective, multicenter study included 8586 pediatric patient…

  • Hematologic Inflammatory Indices Predict Mortality in Surgical Necrotizing Enterocolitis Among Premature Infants

    Open Access•Ahmet Dursun, İpek Kocaoglu et al.•ARTICLE•Children•2026

    Background/Objectives : Necrotizing enterocolitis (NEC) is one of the most devastating gastrointestinal emergencies in premature neonates, with particularly high mortality among those requiring surgical intervention. Early identification of high-risk patients remains challenging. This study aimed to evaluate the prognostic value of complete blood count-derived inflammatory indices for predicting mortality in premature infants undergoing surgery f…

Infant Nutrition and Health (2 works) · Medicine (2 works) · Receiver operating characteristic (2 works) · Appendicitis Diagnosis and Management (1 work) · Artificial Intelligence (1 work) · Birth weight (1 work) · Clinical prediction rule (1 work) · Clinical trial (1 work) · Computer Science (1 work) · Diagnostic accuracy (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae