Barbaros Yet

E-mail
byet@metu.edu.tr
Department
Graduate School of Informatics
Scopus Author ID
Web of Science Researcher ID
An updated meta-analysis of prognostic factors for secondary amputation following surgical repair of lower-extremity vascular trauma in both civilian and military populations
Singh, Yash; Kersey, Alexander; Lauria, Alexis; Yet, Barbaros; Tai, Nigel; Rasmussen, Todd; Ratnayake, Amila; Perkins, Zane (2026-06-01)
BACKGROUND: Lower-extremity vascular trauma (LEVT) remains a major cause of limb loss. A thorough understanding of prognostic factors associated with secondary amputation is essential for guiding decision-making, patient c...
Directed acyclic graphs for causal inference of the impact of maternal and child helminth infections on child growth
Gabain, Isobel L.; Davies-Kershaw, Hilary; Rosenstock, Todd S.; Yet, Barbaros; Rudge, James W.; Webster, Joanne P. (2026-05-01)
As of 2025, an estimated 150.2 million children under 5 years globally were stunted-falling more than two standard deviations below the World Health Organization (WHO) Child Growth Standards median. Helminth infections rep...
Semantic Similarity Effect on Delayed Free Recall Using Word Embeddings for Turkish
Büyükyaprak, Burak; Yet, Barbaros; Kılıç Özhan, Aslı (2026-01-01)
Episodic memory is a type of long-term memory that encodes and retrieves personal experiences associated with their context. Previous episodic memory studies showed that the context or preexisting knowledge about retrieved...
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...
Bilişsel Bayes Ağları ile Marr’ın Analiz Seviyeleri Arasındaki İlişkilerin İncelenmesi
Yet, Barbaros (Nobel Akademik Yayıncılık, 2024-01-01)
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