Doç. Dr. BARBAROS YET

Yayın Ağı

Makaleler 39

1. Presenting predictions and performance of probabilistic models for clinical decision support in trauma care

Alptekin C., Wohlgemut J. M., Perkins Z. B., Marsh W., Tai N. R. M., YET B.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS , cilt.194, 2025 (SCI-Expanded, Scopus)

2. Secondary data analysis using Evidence-Based Bayesian Networks with an application to investigate the determinants of childhood stunting

YET B., Öykü Başerdem E., Rosenstock T.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.256, 2024 (SCI-Expanded) Sürdürülebilir Kalkınma

3. Bayesian networks may allow better performance and usability than logistic regression

Wohlgemut J. M., Pisirir E., Stoner R. S., Kyrimi E., YET B., Marsh W., et al.

CRITICAL CARE , cilt.28, sa.1, 2024 (SCI-Expanded, Scopus)

4. A Multi-Criteria Decision Support Tool for Shared Decision Making in Clinical Consultation

TUNCER ŞAKAR C., Keith-Jopp C., YET B., Joyner C., Hill A., Roberts J., et al.

Journal of Multi-Criteria Decision Analysis , cilt.31, sa.5-6, 2024 (ESCI, Scopus)

5. Multicriteria decision support under uncertainty: combining outranking methods with Bayesian networks

Cebesoy M., TUNCER ŞAKAR C., YET B.

ANNALS OF OPERATIONS RESEARCH , 2024 (SCI-Expanded, Scopus)

6. 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 T. S., YET B.

BMJ PAEDIATRICS OPEN , cilt.8, sa.SUPPL_1, 2024 (SCI-Expanded, Scopus)

7. Assessing Serious Spinal Pathology Using Bayesian Network Decision Support: Development and Validation Study

Hill A., Joyner C. H., Keith-Jopp C., Yet B., Tuncer Sakar C., Marsh W., et al.

JMIR FORMATIVE RESEARCH , cilt.7, ss.44187, 2023 (ESCI, Scopus)

8. The Role of Honor Concerns in Disclosing (vs. Hiding) COVID-19 Diagnosis: Insights from Türkiye

Ceylan-Batur S., Doğulu C., Akbaş G., YET B., Uskul A. K.

Sex Roles , cilt.89, sa.7-8, ss.409-424, 2023 (SSCI, Scopus)

9. A Multicriteria Method to Form Optional Preventive Maintenance Plans: A Case Study of a Large Fleet of Vehicles

Guner G. G., Sakar C. T., YET B.

IEEE Transactions on Engineering Management , cilt.70, sa.6, ss.2153-2164, 2023 (SCI-Expanded, SSCI, Scopus)

10. Celecoxib Nanoformulations with Enhanced Solubility, Dissolution Rate, and Oral Bioavailability: Experimental Approaches over In Vitro/In Vivo Evaluation

Arslan A., YET B., NEMUTLU E., AKDAĞ ÇAYLI Y., EROĞLU H., ÖNER L.

Pharmaceutics , cilt.15, sa.2, 2023 (SCI-Expanded, Scopus)

11. Reliability prediction for aircraft fleet operators: A Bayesian network model that combines supplier estimates, maintenance data and expert judgement

Kucuker F. U., Yet B.

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , cilt.74, sa.10, ss.2187-2198, 2023 (SCI-Expanded, SSCI, Scopus)

12. Reducing the question burden of patient reported outcome measures using Bayesian networks

Yuceturk H., Gulle H., TUNCER ŞAKAR C., Joyner C., Marsh W., ÜNAL E., et al.

JOURNAL OF BIOMEDICAL INFORMATICS , cilt.135, 2022 (SCI-Expanded, Scopus)

13. Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model.

Perkins Z., Yet B., Marsden M., Glasgow S., Marsh W., Davenport R., et al.

Annals of surgery , cilt.274, 2021 (SCI-Expanded, Scopus)

14. Effectiveness of intubation devices in patients with cervical spine immobilisation: a systematic review and network meta-analysis

Singleton B. N., Morris F. K., YET B., Buggy D. J., Perkins Z. B.

BRITISH JOURNAL OF ANAESTHESIA , cilt.126, sa.5, ss.1055-1066, 2021 (SCI-Expanded, Scopus)

15. A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study

Hill A., Joyner C. H., Keith-Jopp C., YET B., TUNCER ŞAKAR C., Marsh W., et al.

JMIR RESEARCH PROTOCOLS , cilt.10, sa.1, 2021 (ESCI, Scopus) Sürdürülebilir Kalkınma

16. Estimating criteria weight distributions in multiple criteria decision making: a Bayesian approach

Yet B., Sakar C. T.

ANNALS OF OPERATIONS RESEARCH , cilt.293, sa.2, ss.495-519, 2020 (SCI-Expanded, Scopus)

17. Analyzing the Simonshaven Case Using Bayesian Networks

Fenton N., Neil M., Yet B., Lagnado D.

TOPICS IN COGNITIVE SCIENCE , cilt.12, sa.4, ss.1092-1114, 2020 (SSCI, Scopus) Sürdürülebilir Kalkınma

18. 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 Z. B., Yet B., Sharrock A., Rickard R., Marsh W., Rasmussen T. E., et al.

Annals of surgery , cilt.272, sa.4, ss.564-572, 2020 (SCI-Expanded, Scopus)

19. Integrating Risk into Project Control Using Bayesian Networks

PİŞİRİR E., Su Y., YET B.

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING , cilt.19, sa.5, ss.1327-1352, 2020 (SCI-Expanded, Scopus)

20. Evidence-based investment selection: Prioritizing agricultural development investments under climatic and socio-political risk using Bayesian networks

YET B., Lamanna C., Shepherd K. D., Rosenstock T. S.

PLOS ONE , cilt.15, sa.6, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

21. Building Bayesian networks based on DEMATEL for multiple criteria decision problems: A supplier selection case study

Kaya R., YET B.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.134, ss.234-248, 2019 (SCI-Expanded, Scopus)

22. Cyber-physical-based PAT (CPbPAT) framework for Pharma 4.0

VATANKHAH BARENJI R., Akdag Y., YET B., ÖNER L.

INTERNATIONAL JOURNAL OF PHARMACEUTICS , cilt.567, 2019 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

23. Football Analytics using Bayesian Networks: the FutBA Model

Karabıyık M., YET B.

Pamukkale University Journal of Engineering Sciences , cilt.25, sa.1, ss.121-131, 2019 (TRDizin)

24. Long-term, patient-centered outcomes of lower-extremity vascular trauma

Perkins Z. B., YET B., Glasgow S., Marsh D. W. R., Tai N. R. M., Rasmussen T. E.

JOURNAL OF TRAUMA AND ACUTE CARE SURGERY , cilt.85, 2018 (SCI-Expanded, Scopus)

25. Çok Kriterli Karar Verme Problemlerinde Fayda Fonksiyonu Ağırlıklarının Tahmin Edilmesi için Matematiksel Model Temelli bir Yöntem

TUNCER ŞAKAR C., YET B.

Uludağ University Journal of The Faculty of Engineering , cilt.23, sa.1, ss.379-402, 2018 (TRDizin)

26. An improved method for solving Hybrid Influence Diagrams

YET B., Neil M., Fenton N., Constantinou A., Dementiev E.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING , cilt.95, ss.93-112, 2018 (SCI-Expanded, Scopus)

27. Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization

YET B., Constantinou A., Fenton N., Neil M.

IEEE ACCESS , cilt.6, ss.7802-7817, 2018 (SCI-Expanded, Scopus)

28. The role of splenic angioembolization as an adjunct to nonoperative management of blunt splenic injuries: A systematic review and meta-analysis

Crichton J. C. I., Naidoo K., YET B., Brundage S. I., Perkins Z.

JOURNAL OF TRAUMA AND ACUTE CARE SURGERY , cilt.83, sa.5, ss.934-943, 2017 (SCI-Expanded, Scopus)

29. COTTAPP: An Online University Timetable Application based on a Goal Programming Model

Dursun T., Sü Y., Coşgun R., Durak A. S., YET B.

International Journal of Intelligent Systems and Applications in Engineering , cilt.3, sa.5, ss.117-123, 2017 (TRDizin)

30. Clinical evidence framework for Bayesian networks

YET B., Perkins Z. B., Tai N. R. M., Marsh D. W. R.

KNOWLEDGE AND INFORMATION SYSTEMS , cilt.50, sa.1, ss.117-143, 2017 (SCI-Expanded, Scopus)

31. How to model mutually exclusive events based on independent causal pathways in Bayesian network models

Fenton N., Neil M., Lagnado D., Marsh W., YET B., Constantinou A.

KNOWLEDGE-BASED SYSTEMS , cilt.113, ss.39-50, 2016 (SCI-Expanded, Scopus)

32. A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study

YET B., Constantinou A., Fenton N., Neil M., Luedeling E., Shepherd K.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.60, ss.141-155, 2016 (SCI-Expanded, Scopus)

33. Using operational data for decision making a feasibility study in rail maintenance

Marsh W., Nur K., YET B., Majumdar A.

Safety and Reliability , cilt.36, sa.1, ss.35-47, 2016 (Hakemli Dergi)

34. Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences

Constantinou A. C., YET B., Fenton N., Neil M., Marsh W.

ARTIFICIAL INTELLIGENCE IN MEDICINE , cilt.66, ss.41-52, 2016 (SCI-Expanded, Scopus)

35. Meta-analysis of prognostic factors for amputation following surgical repair of lower extremity vascular trauma

Perkins Z. B., YET B., Glasgow S., Cole E., Marsh W., Brohi K., et al.

BRITISH JOURNAL OF SURGERY , cilt.102, sa.5, ss.436-450, 2015 (SCI-Expanded, Scopus)

36. Combining data and meta-analysis to build Bayesian networks for clinical decision support

YET B., Perkins Z. B., Rasmussen T. E., Tai N. R. M., Marsh D. W. R.

JOURNAL OF BIOMEDICAL INFORMATICS , cilt.52, ss.373-385, 2014 (SCI-Expanded, Scopus)

37. Compatible and incompatible abstractions in Bayesian networks

YET B., Marsh D. W. R.

KNOWLEDGE-BASED SYSTEMS , cilt.62, ss.84-97, 2014 (SCI-Expanded, Scopus)

38. Not just data: A method for improving prediction with knowledge

YET B., Perkins Z., Fenton N., Tai N., Marsh W.

JOURNAL OF BIOMEDICAL INFORMATICS , cilt.48, ss.28-37, 2014 (SCI-Expanded, Scopus)

39. Decision support system for Warfarin therapy management using Bayesian networks

YET B., Bastani K., Raharjo H., Lifvergren S., Marsh W., Bergman B.

DECISION SUPPORT SYSTEMS , cilt.55, sa.2, ss.488-498, 2013 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 17

1. Modelling Shared Decision Making Interactions using Influence Diagrams

Yildirim Z., YET B.

12th International Conference on Probabilistic Graphical Models (PGM), Nijmegen, Hollanda, 11 - 13 Eylül 2024, ss.133-146, (Tam Metin Bildiri)

2. Learning and planning to solve boulder climbing problems

Türedioğlu M., Yet B., Demirtaş K.

10th MathSport International Conference, Budapest, Macaristan, 26 Haziran 2023, ss.70-75, (Tam Metin Bildiri)

3. Creating semantically related and unrelated word lists for episodic memory research using word embeddings

Büyükyaprak B., KILIÇ ÖZHAN A., YET B.

9th International Symposium on Brain and Cognitive Science, İstanbul, Türkiye, 07 Mayıs 2023, (Özet Bildiri)

4. Ciddi Oyunlar ile Ortak Karar Verme

SÜLÜN A., YET B.

14. Tıp Bilişimi Kongresi, İzmir, Türkiye, 16 Mart 2023, ss.154-157, (Tam Metin Bildiri)

5. Decision Support for Project Management by using Diagnostic Inference and Explaining-Away in Bayesian Networks

YET B., PİŞİRİR E.

6th International Conference on Decision Support System Technology (ICDSST 2020), Zaragoza, İspanya, 27 - 29 Mayıs 2020, ss.131-136, (Tam Metin Bildiri)

6. Sınırlı Sayıda Veri ile Güvenilirlik Tahmini: SARP Modeli

KÜÇÜKER F. U., YET B.

Sekizinci Ulusal Savunma Uygulamaları Modelleme ve Simulasyon Konferansı - USMOS 2019, Ankara, Türkiye, 19 - 20 Kasım 2019, ss.327-338, (Tam Metin Bildiri)

7. Improved Software Reliability Prediction by Using Model Stacking and Averaging

Karaomer R. B., YET B., CHOUSEİNOGLOU O.

45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) / 22nd Euromicro Conference on Digital System Design (DSD), Kallithea, Yunanistan, 28 - 30 Ağustos 2019, ss.186-192, (Tam Metin Bildiri)

8. Probabilistic Earned Value Management Using Bayesian Networks

YET B., SÜ Y.

INFORMS 2018, Phoenix, Amerika Birleşik Devletleri, 2 - 06 Kasım 2018, ss.488, (Özet Bildiri)

9. A Probabilistic Approach for Indirect Elicitation of the Preferences of a Decision Maker

YET B., TUNCER ŞAKAR C.

BALCOR 2018 - XIII Balkan Conference on Operational Research, Belgrade, Sırbistan Ve Karadağ, 25 - 28 Mayıs 2018, ss.39, (Özet Bildiri)

10. Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions

YET B., Marsh W., Morrissey D.

Special Topic Conference of the European-Fedeeration-for-Medical-Informatics (EFMI STC), Zagreb, Hırvatistan, 15 - 16 Ekim 2018, cilt.255, ss.175-179, (Tam Metin Bildiri)

11. A Framework to Present Bayesian Networks to Domain Experts and Potential Users

YET B.

Probability and Statistics in Forensic Science - Isaac Newton Institute for Mathematical Sciences, Cambridge, Kanada, 18 Temmuz - 21 Aralık 2016, (Özet Bildiri)

12. Tek Değişkenli Meta analiz Sonuçları ve Çok Değiskenli Veriyi Birlikte Kullanarak Bayes Ağı Modelleri Öğrenme

YET B., Perkins Z., Tai N., Marsh W.

36. Yöneylem Araştırması ve Endüstri Mühendisliği Ulusal Kongresi (YAEM-2016), İzmir, Türkiye, 13 - 15 Temmuz 2016, ss.56-57, (Özet Bildiri)

13. NEDENSEL BAYES AĞLARı İLE CERRAHİ KARAR DESTEK

YET B., Perkins Z., Tai N., Marsh W.

35. Yöneylem Araştırması ve Endüstri Mühendisliği Ulusal Kongresi (YAEM-2015), Ankara, Türkiye, 9 - 11 Eylül 2015, (Özet Bildiri)

14. Project Cost Benefit and Risk Analysis using Bayesian Networks

YET B., Constantinou A., Fenton N., Neil M., Luedeling E., Shepherd K.

31st Conference on Uncertainty in Artificial Intelligence (UAI 2015) - Bayesian Applications Workshop, Amsterdam, Hollanda, 12 - 16 Temmuz 2015, (Özet Bildiri)

15. Explicit Evidence for Prognostic Bayesian Network Models

YET B., Perkins Z., Tai N., Marsh W.

25th European Medical Informatics Conference (MIE), İstanbul, Türkiye, 31 Ağustos - 03 Eylül 2014, cilt.205, ss.53-57, (Tam Metin Bildiri)

16. Predicting Latent Variables with Knowledge and Data A Case Study in Trauma Care

YET B., Marsh W., Perkins Z., Tai N., Fenton N.

29th Conference on Uncertainty in Artificial Intelligence (UAI 2013 - Bayesian Applications Workshop, BELLEVUE, WASHINGTON, Amerika Birleşik Devletleri, 15 Temmuz 2013, cilt.1024, ss.49, (Özet Bildiri)

17. Towards a Method for Building Causal Bayesian Networks for Prognostic Decision Support

YET B., Perkins Z., Marsh W., Fenton N.

AIME’11 Workshop onProbabilistic Problem Solving in Biomedicine (ProBioMed-11), BLED, Slovenya, 02 Temmuz 2011, ss.107-120, (Tam Metin Bildiri)

Kitaplar 2

1. Bilişsel Bayes Ağları ile Marr’ın Analiz Seviyeleri Arasındaki İlişkilerin İncelenmesi

Yet B.

Nörondan Algoritmaya Davranışı Anlamak, DÖVENCİOĞLU NAHİDE DİCLE, Editör, Nobel Yayın Dağıtım, Ankara, ss.19-48, 2024

2. Bayesian Networks in Project Management

Yet B.

Wiley StatsRef: Statistics Reference Online, N. Balakrishnan,Theodore Colton,Brian Everitt,Walter Piegorsch,Fabrizio Ruggeri,Jef Teugels, Editör, John Wiley & Sons, West Sussex, UK , New Jersey, ss.1-8, 2017

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656

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799

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1059

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