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Publications:  Dr David Marsh

WAITE JL, CURZON P, MARSH DW et al. (2018). Comparing K-5 teachers’ reported use of design in teaching programming and planning in teaching writing. ACM ISBN 978-1-4503-6588-8/18/10. Editors: Muhling, A, Cutts, Q, Schwill, A, Conference: WiPSCE 2018 (13th Workshop in Primary and Secondary Computing Education) (Potsdam, Germany) from: 04/10/2018 to: 06/10/2018,
10.1145/3265757.3265761
Perkins ZB, Yet B, Glasgow S et al.(2018). Long-term, patient-centered outcomes of lower-extremity vascular trauma. J Trauma Acute Care Surg vol. 85, (1S Suppl 2) S104-S111.
10.1097/TA.0000000000001956
ZHANG H, MARSH DWR (2018). Towards A Model-Based Asset Deterioration Framework Represented by Probabilistic Relational Models. ESREL2018 conference proceeding. Conference: European Safety and Reliability Conference ESREL 2018 (Trondheim, Norway) from: 17/06/2018 to: 21/06/2018,
http://qmro.qmul.ac.uk/xmlui/handle/123456789/45945
MCLACHLAN S, Potts HWW, Dube K et al.(2018). The Heimdall framework for supporting characterisation of learning health systems. BCS Journal of Innovation in Health Informatics vol. 25, (2)
10.14236/jhi.v25i2.996
http://qmro.qmul.ac.uk/xmlui/handle/123456789/40805
McLachlan S, Dube K, Buchanan D et al.(2018). Learning Health Systems: The research community awareness challenge. J Innov Health Inform vol. 25, (1)
10.14236/jhi.v25i1.981
WAITE JL, CURZON P, MARSH D et al.(2018). Abstraction in action: K-5 teachers' uses of levels of abstraction, particularly the design level, in teaching programming. International Journal Of Computer Science Education In Schools vol. 2, (1) Article 2, 14-40.
10.21585/ijcses.v2i1.23
http://qmro.qmul.ac.uk/xmlui/handle/123456789/32505
WAITE JL, curzon P, marsh D et al. (2017). K-5 Teachers' Uses of Levels of Abstraction Focusing on Design. Presented at: WiPSCE 2017, Abstract: java.sql.Clob org.hibernate.engine.jdbc.WrappedClob java.io.Serializable ,
http://qmro.qmul.ac.uk/xmlui/handle/123456789/28463
Perkins ZB, Yet B, Glasgow S et al. (2017). Predicting limb viability following lower extremity vascular trauma. BRITISH JOURNAL OF SURGERY. vol. 104, 7-7.
Zhang H, Marsh DWR (2017). Bayesian network models for making maintenance decisions from data and expert judgment. Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/13065
Fenton N, Neil M, Lagnado D et al.(2016). How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowledge-Based Systems
10.1016/j.knosys.2016.09.012
http://qmro.qmul.ac.uk/xmlui/handle/123456789/15923
Mossadegh S, Yet B, Perkins Z et al.(2016). Predictive Accuracy of a Civilian Bayesian Network Trauma Tool in a Military Cohort and Applicability to Trauma Performance Improvement. BRITISH JOURNAL OF SURGERY vol. 103, 96-96.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/31408
Ahmed N, Shamsujjoha M, Ali MNY et al. (2016). An efficient REDCap based data collection platform for the Primary Immune Thrombocytopenia and its analysis over the conventional approaches. 2015 18th International Conference on Computer and Information Technology, ICCIT 2015. 353-357.
10.1109/ICCITechn.2015.7488095
Mossadegh S, Kyrimi E, Marsh W et al. (2016). Implementation science: a Bayesian prediction tool for acute traumatic coagulopathy. British Journal of Surgery. Conference: Society of Academic and Research Surgery Annual Meeting vol. 103, 39-39.
10.1002/bjs.10158
Yet B, Perkins ZB, Tai NRM et al.(2016). Clinical evidence framework for Bayesian networks. Knowledge and Information Systems vol. 50, (1) 117-143.
10.1007/s10115-016-0932-1
http://qmro.qmul.ac.uk/xmlui/handle/123456789/22339
Constantinou AC, Fenton N, Marsh W et al.(2016). From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artif Intell Med vol. 67, 75-93.
10.1016/j.artmed.2016.01.002
http://qmro.qmul.ac.uk/xmlui/handle/123456789/11587
Marsh W, Nur K, Yet B et al.(2016). Using operational data for decision making: a feasibility study in rail maintenance. Safety and Reliability vol. 36, (1) 35-47.
10.1080/09617353.2016.1148923
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12483
Constantinou AC, Yet B, Fenton N et al.(2016). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artificial Intelligence in Medicine vol. 66, 41-52.
10.1016/j.artmed.2015.09.002
Constantinou AC, Yet B, Fenton N et al.(2016). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artif Intell Med vol. 66, 41-52.
10.1016/j.artmed.2015.09.002
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10760
Constantinou AC, Freestone M, Marsh W et al.(2015). Risk assessment and risk management of violent re-offending among prisoners. Expert Systems with Applications vol. 42, (21)
10.1016/j.eswa.2015.05.025
http://qmro.qmul.ac.uk/xmlui/handle/123456789/15804
CONSTANTINOU AC, Freestone M, Marsh W et al.(2015). Causal inference for violence risk management and decision support in forensic psychiatry. Decision Support Systems vol. 80, 42-55.
10.1016/j.dss.2015.09.006
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10774
Perkins ZB, Yet B, Glasgow S et al.(2015). Meta-analysis of prognostic factors for amputation following surgical repair of lower extremity vascular trauma. Br J Surg vol. 102, (5) 436-450.
10.1002/bjs.9689
http://qmro.qmul.ac.uk/xmlui/handle/123456789/23403
Perkins ZB, Yet B, Glasgow S et al.(2015). Meta-analysis of prognostic factors for amputation following surgical repair of lower extremity vascular trauma. British Journal of Surgery vol. 102, (5) 436-450.
10.1002/bjs.9689
Yet B, Perkins ZB, Rasmussen TE et al.(2014). Combining data and meta-analysis to build Bayesian networks for clinical decision support. J Biomed Inform vol. 52, 373-385.
10.1016/j.jbi.2014.07.018
http://qmro.qmul.ac.uk/xmlui/handle/123456789/23055
Perkins ZB, Yet B, Glasgow S et al. (2014). Prognostic Factors for Amputation Following Surgical Repair of Lower Extremity Vascular Trauma: A Systematic Review and Meta-Analysis of Observational Studies. JOURNAL OF VASCULAR SURGERY. vol. 59, 75S-75S.
10.1016/j.jvs.2014.03.167
Yet B, Perkins Z, Fenton N et al.(2014). Not just data: a method for improving prediction with knowledge. J Biomed Inform vol. 48, 28-37.
10.1016/j.jbi.2013.10.012
Yet B, Marsh DWR(2014). Compatible and incompatible abstractions in Bayesian networks. Knowledge-Based Systems
10.1016/j.knosys.2014.02.020
http://qmro.qmul.ac.uk/xmlui/handle/123456789/22145
Yet B, Perkins Z, Tai N et al.(2014). Explicit evidence for prognostic Bayesian network models. Stud Health Technol Inform vol. 205, 53-57.
10.3233/978-1-61499-432-9-53
Yet B, Perkins Z, Fenton N et al.(2014). Not just data: A method for improving prediction with knowledge. Journal of Biomedical Informatics vol. 48, 28-37.
10.1016/j.jbi.2013.10.012
Bearfield G, Holloway A, Marsh W(2013). Change and safety: decision-making from data. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT vol. 227, (6) 704-714.
10.1177/0954409713498381
Perkins Z, Yet B, Glasgow S et al. (2013). EARLY PREDICTION OF TRAUMATIC COAGULOPATHY USING ADMISSION CLINICAL VARIABLES. SHOCK. vol. 40, 25-25.
MARSH DWR, Yet B, Bastani K et al.(2013). Decision Support System for Warfarin Therapy Management Using Bayesian Networks. Decision Support Systems vol. 55, (2) 488-498.
10.1016/j.dss.2012.10.007
Bearfield G, Marsh W (2010). Causal Modelling of Lower Consequence Rail Safety Incidents. Back to the future. Proceedings of the European Safety and Reliability Conference 2010. Editors: Ale, B, Papazuglo, I, Zio, E, Conference: European Safety and Reliability Conference 2010 (ESREL 2010) (Rhodes, Greece) from: 05/09/2010 to: 09/09/2010,
http://qmro.qmul.ac.uk/xmlui/handle/123456789/1340
Marsh DWR, Bearfield GJ (2009). Why Risk Models should be Parameterised. Proceedings of the Ninth International Scientific School MA SR - 2009. Conference: MASR-2009 Modeling and Analysis of Safety and Risk in Complex Systems (Saint-Petersburg, Russia) from: 07/07/2009 to: 11/07/2009,
http://qmro.qmul.ac.uk/xmlui/handle/123456789/1145
Fenton N, Neil M, Marsh W et al.(2008). On the effectiveness of early life cycle defect prediction with Bayesian Nets. EMPIRICAL SOFTWARE ENGINEERING vol. 13, (5) 499-537.
10.1007/s10664-008-9072-x
Marsh DWR, Bearfield G(2008). Generalizing event trees using Bayesian networks. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability vol. 222, (2) 105-114.
10.1243/1748006XJRR131
Marsh DWR, Bearfield G(2008). Generalizing event trees using Bayesian networks. Proc. IMechE, PartO: J. Risk and Reliability vol. 222, Article O2, 105-114-105-114.
Dray P, Bearfield GJ, Marsh DWR (2007). Constructing Scalable and Parameterised System Wide Risk Models.
Marsh DWR, Bearfield GJ (2007). Merging event trees using Bayesian networks. RISK, RELIABILITY AND SOCIETAL SAFETY, VOLS 1-3. Editors: Aven, T, Vinnem, JE, 1489-1496.
Fenton N, Neil M, Marsh W et al.(2007). Predicting software defects in varying development lifecycles using Bayesian nets. INFORM SOFTWARE TECH vol. 49, (1) 32-43.
10.1016/j.infsof.2006.09.001
Fenton NE, Neil M, Marsh W et al. (2007). Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. Conference: ICSE PROMISE (Predictive Models in Software Engineering) 07 (Minneapolis, USA) from: 05/2007
10.1109/PROMISE.2007.11
Marsh W, Bearfield G (2007). Representing parameterised fault trees using Bayesian networks. COMPUTER SAFETY, RELIABILITY, AND SECURITY, PROCEEDINGS. Editors: Saglietti, F, Oster, N, vol. 4680, 120-133.
10.1007/978-3-540-75101-4_13
Neil M, Fenton N, MARSH DWR (2006). A Software Metrics Challenge: Data for Project Prediction. Conference: 29th International Conference on Software Engineering (ICSE 2007), Minneapolis, USA
Neil M, FENTON NE, Marsh W et al. (2006). Predicting Software Defects in Varying Development Lifecycles using Bayesian Nets. Conference: ICSE (International Conference on Software Engineering) 2006, May 20-28, 2006, Shanghai, China
Bearfield G, Marsh W (2005). Generalising event trees using Bayesian networks with a case study of train derailment. COMPUTER SAFETY, RELIABILITY, AND SECURITY, PROCEEDINGS. Editors: Winther, R, Gran, BA, Dahll, G, vol. 3688, 52-66.
10.1007/11563228_5
Fenton N, Marsh W, Neil M et al. (2004). Making resource decisions for software projects. ICSE 2004: 26TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, PROCEEDINGS. 397-406.
10.1109/ICSE.2004.1317462
Marsh W, Bearfield G (2004). Using Bayesian networks to model accident causation in the UK railway industry. PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT, VOL 1- 6. Editors: Spitzer, C, Schmocker, U, Dang, VN, 3597-3602.
WICHMANN B, CANNING A, CLUTTERBUCK D et al.(1995). Industrial Perspective on Static Analysis. Software Engineering Journal vol. 10, (2) 69-75.
CARRE B, GARNSWORTHY J, MARSH W (1992). SPARK - A SAFETY - RELATED ADA SUBSET. ADA IN TRANSITION. Editors: Taylor, WJ, vol. 4, 31-45.
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