Barbaros Yet

E-mail

byet@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0003-4058-2677

Scopus Author ID

55413450700

Web of Science Researcher ID

L-8355-2018

Secondary data analysis using Evidence-Based Bayesian Networks with an application to investigate the determinants of childhood stunting Yet, Barbaros; Öykü Başerdem, Elif; Rosenstock, Todd (2024-12-05) Secondary data – data previously collected by other researchers for a different purpose – offers a cost-effective and readily available resource for research and policy or program design but presents challenges due to the ...
Bayesian networks may allow better performance and usability than logistic regression Wohlgemut, Jared M.; Pisirir, Erhan; Stoner, Rebecca S.; Kyrimi, Evangelia; Yet, Barbaros; Marsh, William; Perkins, Zane B.; Tai, Nigel R. M. (2024-12-01)
Multicriteria decision support under uncertainty: combining outranking methods with Bayesian networks Cebesoy, Melodi; TUNCER ŞAKAR, CEREN; Yet, Barbaros (2024-06-11) Assessing alternative solutions that have uncertain evaluations in conflicting multiple criteria is not straightforward. Probabilistic models such as Bayesian networks (BNs) can effectively model and represent the uncertai...
Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: a UKRI Global Challenges Research Fund (GCRF) Action Against Stunting Hub protocol paper Rosenstock, Todd S.; Yet, Barbaros (2024-03-22) Introduction Several factors have been implicated in child stunting, but the precise determinants, mechanisms of action and causal pathways remain poorly understood. The objective of this study is to explore causal relatio...
Assessing Serious Spinal Pathology Using Bayesian Network Decision Support: Development and Validation Study Hill, Adele; Joyner, Christopher H; Keith-Jopp, Chloe; Yet, Barbaros; Tuncer Sakar, Ceren; Marsh, William; Morrissey, Dylan (2023-10-01) Background Identifying and managing serious spinal pathology (SSP) such as cauda equina syndrome or spinal infection in patients presenting with low back pain is challenging. Traditional red flag questioning i...
Learning and planning to solve boulder climbing problems Türedioğlu, Mert; Yet, Barbaros; Demirtaş, Kerem (2023-06-25) Normal 0 false false false IT X-NONE X-NONE ...
Ciddi Oyunlar ile Ortak Karar Verme SÜLÜN, AHMET; Yet, Barbaros (2023-03-16)
Celecoxib Nanoformulations with Enhanced Solubility, Dissolution Rate, and Oral Bioavailability: Experimental Approaches over In Vitro/In Vivo Evaluation Arslan, Aslıhan; Yet, Barbaros; NEMUTLU, EMİRHAN; AKDAĞ ÇAYLI, YAĞMUR; EROĞLU, HAKAN; ÖNER, LEVENT (2023-02-01) Celecoxib (CXB) is a Biopharmaceutical Classification System (BCS) Class II molecule with high permeability that is practically insoluble in water. Because of the poor water solubility, there is a wide range of absorption ...
The Role of Honor Concerns in Disclosing (vs. Hiding) COVID-19 Diagnosis: Insights from Türkiye Ceylan-Batur, Suzan; Doğulu, Canay; Akbaş, Gülçin; Yet, Barbaros; Uskul, Ayse K. (2023-01-01) Members of honor cultures value engaging in moral behaviors and managing their social image to maintain their honor. These two goals reflect reputation and integrity concerns, which also have bearing on gender roles. In th...
Reducing the question burden of patient reported outcome measures using Bayesian networks Yuceturk, Hakan; Gulle, Halime; TUNCER ŞAKAR, CEREN; Joyner, Christopher; Marsh, William; ÜNAL, EDİBE; Morrissey, Dylan; Yet, Barbaros (2022-11-01) Patient Reported Outcome Measures (PROMs) are questionnaires completed by patients about aspects of their health status. They are a vital part of learning health systems as they are the primary source of information about ...

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