International Journals

  • 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. DOI: 10.2196/21804.
  • 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. DOI: 10.16/j.bja.2020.12.041 (Free Access Share Link – Available until April 08, 2021)
  • 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. DOI: 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), pp. 1327-1352 DOI: 10.1142/S0219622020500315.
  • Fenton N, Neil M, Yet B, Lagnado D (2020). “Analyzing the Simonshaven Case using Bayesian Networks”, 12, pp. 1092-1114 Topics in Cognitive Science. DOI: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), pp. 564-572. DOI: 10.1097/SLA.0000000000004132.
  • Perkins ZB, Yet B, Marsden MER, Glasgow S, Marsh DWR, Davenport R, Brohi K, Tai NRM (2020). “Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model”, Annals of Surgery. DOI: 10.1097/SLA.0000000000003771.
  • Yet B, Tuncer Şakar C (2020). “Estimating Criteria Weight Distributions in Multiple Criteria Decision Making: A Bayesian Approach”, Annals of Operations Research, 293, pp. 495-519. DOI:10.1007/s10479-019-03313-z. (Pre-publication draft)
  • 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, pp. 234-238. DOI: 10.1016/j.eswa.2019.05.053. (Pre-publication Draft)
  • 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. International Journal of Pharmaceutics. DOI: 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, pp. 93-112. DOI:10.1016/j.ijar.2018.01.006. (Pre-publication Draft)
  • 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. DOI: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, pp. 7802-7817. DOI: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), pp.117-143.DOI: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), pp.934-943. DOI: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, pp.141-155. DOI:10.1016/j.eswa.2016.05.005. AgenaRisk model file available here
  • 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, pp.39-50. DOI: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), pp.35-47. DOI: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, pp.41-52. DOI: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), pp. 436-450. DOI: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, pp.373-385. DOI:10.1016/j.jbi.2014.07.018
  • Yet B, and Marsh DWR (2014). “Compatible and Incompatible Abstractions in Bayesian Networks” Knowledge-Based Systems, 62, pp.84-97. DOI: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, pp.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), pp.488-498. DOI:10.1016/j.dss.2012.10.007

National Journals

  • Karabıyık M, Yet B (2019). “Bayes Ağları ile Futbol Analitiği: FutBA Modeli”, Pamukkale University Journal of Engineering Sciences, 25(1), pp. 121-131. DOI: 10.5505/pajes.2018.12979 [IN TURKISH]
  • 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), pp. 379-402. DOI:10.17482/uumfd.346417 [IN TURKISH]
  • 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), pp. 117-128. DOI: 10.18201/ijisae.2017531426

Book Chapters

Conference Proceedings

  • 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. DOI: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. DOI: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. DOI: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