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

Presenting predictions and performance of probabilistic models for clinical decision support in trauma care Alptekin, Cansu; Wohlgemut, Jared M.; Perkins, Zane B.; Marsh, William; Tai, Nigel R. M.; Yet, Barbaros (2025-02-01) Introduction: Both predictions and performance of clinical predictive models can be presented with various verbal and visual representations. This study aims to investigate how different risk and performance presentations ...
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)
A Multi-Criteria Decision Support Tool for Shared Decision Making in Clinical Consultation TUNCER ŞAKAR, CEREN; Keith-Jopp, Chloe; Yet, Barbaros; Joyner, Christopher; Hill, Adele; Roberts, James; Marsh, William; Morrissey, Dylan (2024-09-01) In clinical consultation, Shared Decision Making (SDM) between the patient and clinician can inform the patient about available treatment options, likely harms and benefits in order to reach a joint decision that accommoda...
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...
Modelling Shared Decision Making Interactions using Influence Diagrams Yildirim, Zeliha; Yet, Barbaros (2024-01-01) Shared Decision Making (SDM) has become a predominant element of patient-centered healthcare delivery in recent years. In SDM, multiple agents, including a patient and a clinician interact to make a joint decision that is ...
Bilişsel Bayes Ağları ile Marr’ın Analiz Seviyeleri Arasındaki İlişkilerin İncelenmesi Yet, Barbaros (Nobel Akademik Yayıncılık, 2024-01-01)
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 ...

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