Publications on Google Scholar, Web of Science and METU Research Information System.

International Journals

  • Alptekin C, Wohlgemut JM, Perkins ZB, Marsh DWR, Tai NRM, Yet B (2024). “Presenting predictions and performance of probabilistic models for clinical decision support in trauma care”, International Journal of Medical Informatics, 105702. 10.1016/j.ijmedinf.2024.105702

  • Yet B, Baserdem EÖ, Rosenstock T (2024). “Secondary Data Analysis using Evidence-Based Bayesian Networks with an application to Investigate the Determinants of Childhood Stunting”, Expert Systems with Applications, 256, 124940 10.1016/j.eswa.2024.124940

  • Cebesoy M, Tuncer Şakar C, Yet B (2024). “Multicriteria Decision Support Under Uncertainty: Combining Outranking Methods with Bayesian Networks”, Annals of Operations Research. 10.1007/s10479-024-06064-8

  • Tuncer Şakar C, Keith-Jopp C, Yet B, Joyner C, Hill A, Roberts J, Marsh W, Morrissey D (2024). “A Multi-Criteria Decision Support Tool for Shared Decision Making in Clinical Consultation”, Journal of Multi-Criteria Decision Analysis.

  • Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Yet B, Marsh W, Perkins ZB, Tai NRM (2024). “Bayesian networks may allow better performance and usability than logistic regression”, Critical Care, 28(1), 234 10.1186/s13054-024-05015-w

  • Rosenstock TS, Yet B (2024). “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”, BMJ Paediatrics Open, 8, e001983. 10.1136/bmjpo-2023-001983

  • Hill A, Joyner CH, Keith-Jopp C, Yet B, Tuncer Şakar C, Marsh W, Morrissey D (2023). “Assessing serious spinal pathology using Bayesian Network Decision Support: Development and Validation Study”, JMIR Formative Research, 7, e44187. 10.2196/44187

  • Arslan A, Yet B, Nemutlu E, Akdağ Çaylı Y, Eroğlu H, Öner L (2023). “Celecoxib Nanoformulations with Enhanced Solubility, Dissolution Rate, and Oral Bioavailability: Experimental Approaches over In Vitro/In Vivo Evaluation”, Pharmaceutics, 15(2), 363. 10.3390/pharmaceutics15020363

  • Ceylan-Batur S, Doğulu C, Akbaş G, Yet B, Uskul AK (2023). “The Role of Honor Concerns in Disclosing (vs. Hiding) COVID-19 Diagnosis: Insights from Türkiye.”, Sex Roles, 89, 409-424. 10.1007/s11199-023-01373-x

  • Yücetürk H, Gülle H, Tuncer Şakar C, Joyner C, Marsh W, Ünal E, Morrissey D, Yet B (2022). “Reducing the Question Burden of Patient Reported Outcome Measures using Bayesian Networks”, Journal of Biomedical Informatics, 135, 104230. 10.1016/j.jbi.2022.104230

  • Küçüker FU, Yet B (2023). “Reliability Prediction for Aircraft Fleet Operators: A Bayesian Network Model that combines Supplier Estimates, Maintenance Data and Expert Judgement”, Journal of the Operational Research Society, 74(10), 2187-2198. 10.1080/01605682.2022.2129486

  • Hill A, Joyner CH, Keith-Jopp C, Yet B, Tuncer Şakar C, Marsh W, Morrissey D (2021). “A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study”, JMIR Research Protocols, 10(1), e21804. 10.2196/21804

  • Güner, GG, Tuncer Şakar C, Yet B (2023). “A Multicriteria Method to Form Optional Preventive Maintenance Plans: A Case Study of a Large Fleet of Vehicles”, IEEE Transactions on Engineering Management, 70(6), 2153-2164. 10.1109/TEM.2021.3072835

  • Singleton B, Morris F, Yet B, Buggy D, Perkins ZB (2021) “Effectiveness of intubation devices in patients with cervical spine immobilization: A Systematic Review and Network Meta-Analysis”, British Journal of Anaesthesia, 126(5), 1055-1066. 10.1016/j.bja.2020.12.041

  • Perkins ZB, Yet B, Marsden MER, Glasgow S, Marsh DWR, Davenport R, Brohi K, Tai NRM (2021). “Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model”, Annals of Surgery, 274(6), e1119-e1128. 10.1097/SLA.0000000000003771

  • Yet B, Lamanna C, Shepherd KD, Rosenstock TE (2020). “Evidence-based investment selection: Prioritizing agricultural development investments under climatic and socio-political risk using Bayesian networks ”, PLOS ONE, 15(6): e0234213. 10.1371/journal.pone.0234213

  • Pisirir E, Su Y, Yet B (2020). “Integrating Risk into Project Control using Bayesian Networks”, International Journal of Information Technology & Decision Making. 19 (5), 1327-1352 10.1142/S0219622020500315

  • Fenton N, Neil M, Yet B, Lagnado D (2020). “Analyzing the Simonshaven Case using Bayesian Networks”, 12, 1092-1114 Topics in Cognitive Science. 10.1111/tops.12417

  • Perkins ZB, Yet B, Sharrock A, Rickard R, Marsh DWR, Rasmussen TE, Brohi K, Tai NRM (2020). “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”, Annals of Surgery. 272 (4), 564-572. 10.1097/SLA.0000000000004132

  • Yet B, Tuncer Şakar C (2020). “Estimating Criteria Weight Distributions in Multiple Criteria Decision Making: A Bayesian Approach”, Annals of Operations Research, 293, 495-519. 10.1007/s10479-019-03313-z
  • Kaya R, Yet B (2019). “Building Bayesian Networks based on DEMATEL for Multiple Criteria Decision Problems: A Supplier Selection Case Study”, Expert Systems with Applications, 134, 234-238. 10.1016/j.eswa.2019.05.053

  • Vatankhah Barenji R, Akdag Y, Yet B, Oner L (2019). “Cyber-Physical-based PAT (CPbPAT) framework for Pharma 4.0”, International Journal of Pharmaceutics,567 (15), 118445. 10.1016/j.ijpharm.2019.06.036

  • Yet B, Neil M, Fenton N, Constantinou A, Dementiev E (2018). “An Improved Method for Solving Hybrid Influence Diagrams”, International Journal of Approximate Reasoning, 95, 93-112. 10.1016/j.ijar.2018.01.006

  • Perkins ZB, Yet B, Glasgow S, Marsh DWR, Tai NRM, Rasmussen TE (2018). “Long-term, patient centered outcomes of Lower Extremity Vascular Trauma”, Journal of Trauma and Acute Surgery, 85(1S), S104-S111. 10.1097/TA.0000000000001956

  • Yet B, Constantinou A, Neil M, Fenton N (2018). “Expected Value of Partial Perfect Information in Hybrid Models using Dynamic Discretization”, IEEE Access, 6, 7802-7817. 10.1109/ACCESS.2018.2799527

  • Yet B, Perkins ZB, Tai NR, and Marsh DWR (2017). “Clinical Evidence Framework for Bayesian Networks” Knowledge and Information Systems, 50(1), 117-143. 10.1007/s10115-016-0932-1

  • Crichton J, Naidoo K, Yet B, Perkins Z, Brundage S (2017). “The role of splenic angio-embolisation as an adjunct to non-operative management of blunt splenic injuries: a systematic review and meta-analysis” Journal of Trauma and Acute Surgery, 83(5), 934-943. 10.1097/TA.0000000000001649

  • Yet B, Constantinou A, Fenton N, Neil M, Luedeling E, Shepherd K (2016). “A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study” Expert Systems with Applications, 60, 141-155. 10.1016/j.eswa.2016.05.005

  • Fenton N, Neil M, Lagnado D, Marsh W, Yet B, Constantinou, A (2016). “How to model mutually exclusive events based on independent causal pathways in Bayesian network models” Knowledge-Based Systems, 113, 39-50. 10.1016/j.knosys.2016.09.012

  • Marsh DWR, Nur K, Yet B, Majumdar A (2016). “Using operational data for decision making: a feasibility study in rail maintenance” Safety and Reliability, 36(1), 35-47. 10.1080/09617353.2016.1148923

  • Constantinou A, Yet B, Fenton N, Neil M, Marsh DWR (2016). “Value of Information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences” Artificial Intelligence in Medicine, 66, 41-52. 10.1016/j.artmed.2015.09.002

  • Perkins ZB, Yet B, Glasgow S, Cole E, Marsh W, Brohi K, Rasmussen TE, Tai NRM (2015). “Meta-analysis of prognostic factors for amputation following surgical repair of lower extremity vascular trauma” British Journal of Surgery, 12 (5), 436-450. 10.1002/bjs.9689

  • Yet B, Perkins ZB, Rasmussen TE, Tai NR, and Marsh DWR (2014). “Combining Data and Meta-analysis to Build Bayesian Networks for Clinical Decision Support” Journal of Biomedical Informatics , 52, 373-385. 10.1016/j.jbi.2014.07.018

  • Yet B, and Marsh DWR (2014). “Compatible and Incompatible Abstractions in Bayesian Networks” Knowledge-Based Systems, 62, 84-97. 10.1016/j.knosys.2014.02.020

  • Yet B, Perkins ZB, Fenton NE, Tai NR, and Marsh DWR (2014). “Not Just Data: Improving Prediction with Knowledge” Journal of Biomedical Informatics, 48, 28-37. DOI:10.1016/j.jbi.2013.10.012

  • Yet B, Bastani K, Raharjo H, Lifvergren S, Marsh DWR, and Bergman B (2013). “Decision Support System for Warfarin Therapy Management using Bayesian Networks”, Decision Support Systems, 55(2), 488-498. DOI:10.1016/j.dss.2012.10.007

National Journals (TR-Index)

  • Karabıyık M, Yet B (2019). “Bayes Ağları ile Futbol Analitiği: FutBA Modeli”, Pamukkale University Journal of Engineering Sciences, 25(1), 121-131. [IN TURKISH]. 10.5505/pajes.2018.12979

  • Tuncer Şakar C, Yet B (2018). “Çok Kriterli Karar Verme Problemlerinde Fayda Fonksiyonu Ağırlıklarının Tahmin Edilmesi için Matematiksel Model Temelli Bir Yöntem”, Uludag University Journal of the Faculty of Engineering, 23(1), 379-402. [IN TURKISH]. 10.17482/uumfd.346417

  • Dursun T, Su Y, Cosgun R, Durak AS, Yet B (2017). “COTTAPP: An Online University Timetable Application based on a Goal Programming Model” International Journal of Intelligent Systems and Applications in Engineering, 5(3), 117-128. 10.18201/ijisae.2017531426

Book Chapters

  • Yet B (2024). “Bilişsel Bayes Ağları ile Marr’ın Analiz Seviyeleri Arasındaki İlişkilerin İncelenmesi” in Nörondan Algoritmaya Davranışı Anlamak (Nobel Akademik Yayıncılık). 19-48. [IN TURKISH].

  • Yet B (2017). “Bayesian Networks in Project Management” in Wiley StatsRef: Statistics Reference Online (John Wiley & Sons). 1-8. 10.1002/9781118445112.stat07966

Technical Reports

  • Lamanna C, Yet B, Kimaro A, Shepherd KD, Jones K, Mayzelle M, Nowak AC, Salermo K, and Rosenstock TS (2021). “Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience”. Final report for the Bill & Melinda Gates Foundation Grand Challenge Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP). World Agroforestry (ICRAF), Nairobi, Kenya

Conference Proceedings

  • Yildirim Z, Yet B (2024). “Modelling Shared Decision Making Interactions using Influence Diagrams” Proceedings of The 12th International Conference on Probabilistic Graphical Models, PMLR 246:133-146.
  • Türedioğlu M, Yet B, Demirtaş K (2023). “Learning and planning to solve boulder climbing problems” 10th MathSport International, Conference Proceedings, 26-28 June 2023, Budapest, Hungary, pp. 70-75.
  • Sülün A, Yet B (2023). “Ciddi Oyunlar ile Ortak Karar Verme”, 14. Tıp Bilişimi Kongresi, 16-18 March 2023, Ankara, Turkey, pp. 154-157. [IN TURKISH].
  • Yet B, Pisirir E (2020). “Decision Support for Project Management by using Diagnostic Inference and Explaining-Away in Bayesian Networks” EWG-DSS 6th International Conference on Decision Support System Technology (ICDSST 2020), 27-29 May 2020, Zaragoza, Spain (Online due to COVID-19), pp. 131-136.

  • Karaömer RB, Yet B, Chouseinoglou O (2019). “Improved Software Reliability Prediction by using Model Stacking and Averaging” The 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2019), 28-30 August 2019, Kallithea-Chalkidiki, Greece, pp. 186-192. 10.1109/SEAA.2019.00038

  • Küçüker FU, Yet B (2019). “Sınırlı Sayıda Veri ile Güvenilirlik Tahmini: SARP Modeli”, 8. Ulusal Savunma Uygulamaları Modelleme ve Simülasyon Konferansı – USMOS2019, 19-20 November 2019, Ankara, Turkey, pp. 327-338. [IN TURKISH].

  • Yet B, Marsh DWR, Morrissey D (2018). “Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions” Studies in Health Technology and Informatics, 255, pp. 175-179. 10.3233/978-1-61499-921-8-175

  • Yet B, Perkins ZB, Tai NR, and Marsh DWR (2014). “Explicit Evidence for Prognostic Bayesian Network Models” Studies in Health Technology and Informatics, 205, pp.53-57. 10.3233/978-1-61499-432-9-53

  • Yet B, Perkins ZB, Marsh DWR, and Fenton NE (2011). “Towards a Method of Building Causal Bayesian Networks for Prognostic Decision Support” ProBioMed – Probabilistic Problem Solving in BioMedicine 2011, Bled, Slovenia, pp. 107-120

PhD Thesis

  • Yet B (2013) “Bayesian Networks for Evidence Based Clinical Decision Support”, Queen Mary University of London. Primary Supervisor: Dr William Marsh, Second Supervisor: Prof Norman Fenton