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

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...
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 ...
Reliability prediction for aircraft fleet operators: A Bayesian network model that combines supplier estimates, maintenance data and expert judgement Kucuker, Faruk Umut; Yet, Barbaros (2022-09-01) Reliability prediction is crucial for aircraft maintenance and spare part inventory decisions. These predictions are made based on operational data collected by fleet operators or design life estimates provided by aircraft...
Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience Lamanna, Christine; Yet, Barbaros; Kimaro, Anthony; Shepherd, Keith D.; Jones, Kristal; Mayzelle, Megan; Nowak, Andreea; Salemo, Kate; Rosenstock, Todd (2021-07-01)
Effectiveness of intubation devices in patients with cervical spine immobilisation: a systematic review and network meta-analysis Singleton, Barry N.; Morris, Fiachra K.; Yet, Barbaros; Buggy, Donal J.; Perkins, Zane B. (2021-05-01) Background: Cervical spine immobilisation increases the difficulty of tracheal intubation. Many intubation devices have been evaluated in this setting, but their relative performance remains uncertain. Methods: MEDLINE, EM...
A Multicriteria Method to Form Optional Preventive Maintenance Plans: A Case Study of a Large Fleet of Vehicles Guner, Gurkan Guven; Sakar, Ceren Tuncer; Yet, Barbaros (2021-01-01) IEEEMotor vehicles are composed of a large number of parts, and planning the maintenance activities of different parts is a crucial decision that affects system reliability, operation costs, and capacity requirements of se...
Predicting the Outcome of Limb Revascularization in Patients With Lower-extremity Arterial Trauma: Development and External Validation of a Supervised Machine-learning Algorithm to Support Surgical Decisions. Perkins, Zane B.; Yet, Barbaros; Sharrock, Anna; Rickard, Rory; Marsh, William; Rasmussen, Todd E.; Tai, Nigel R M (Ovid Technologies (Wolters Kluwer Health), 2020-10-01) Objectives: Estimating the likely success of limb revascularization in patients with lower-extremity arterial trauma is central to decisions between attempting limb salvage and amputation. However, the projected outcome ...

Citation Formats