Barbaros Yet

E-mail
byet@metu.edu.tr
Department
Graduate School of Informatics
Scopus Author ID
Web of Science Researcher ID
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)
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