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Publications:  Dr David Marsh

Zhang H, Marsh DWR(2020). Multi-state deterioration prediction for infrastructure asset: Learning from uncertain data, knowledge and similar groups. Information Sciences vol. 529, 197-213.
10.1016/j.ins.2019.11.017
Kyrimi E, Raniere Neves M, Mclachlan S, Neil M, Marsh W, Fenton N(2020). Medical idioms for clinical Bayesian network development. Journal of Biomedical Informatics
10.1016/j.jbi.2020.103495
https://qmro.qmul.ac.uk/xmlui/handle/123456789/65612
Wilk M, Marsh DWR, De Freitas S, Prowle J(2020). Predicting Length of Stay in Hospital Using Electronic Records Available at the Time of Admission. Studies in health technology and informatics vol. 270, 377-381.
10.3233/SHTI200186
Marsden MER, Marsden MER, Mossadegh S, Marsh W, Tai N, Tai N(2020). Development of a major incident triage tool: The importance of evidence from implementation studies. BMJ Military Health vol. 166, (3)
10.1136/jramc-2018-001057
https://qmro.qmul.ac.uk/xmlui/handle/123456789/47923
Kyrimi E, Mossadegh S, Tai N, Marsh W(2020). An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making. Artificial Intelligence in Medicine vol. 103,
10.1016/j.artmed.2020.101812
Waite J, Curzon P, Marsh W, Sentance S(2020). Difficulties with design: The challenges of teaching design in K-5 programming. Computers & Education Article 103838, 103838-103838.
10.1016/j.compedu.2020.103838
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62819
Perkins ZB, Yet B, Marsden M, Glasgow S, Marsh W, Davenport R, Brohi K, Tai NRM(2020). Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model. Ann Surg
10.1097/SLA.0000000000003771
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62619
Neves MR, Marsh DWR (2019). Modelling the impact of AI for clinical decision support. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 11526 LNAI, 292-297.
10.1007/978-3-030-21642-9_37
Waite JL, CURZON P, MARSH DW, Sentance S (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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/54383
Zhang H, Marsh DWR(2018). Generic Bayesian network models for making maintenance decisions from available data and expert knowledge. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability vol. 232, (5) 505-523.
10.1177/1748006X17742765
https://qmro.qmul.ac.uk/xmlui/handle/123456789/28444
Perkins ZB, Yet B, Glasgow S, Marsh DWR, Tai NRM, Rasmussen TE(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,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/45945
MCLACHLAN S, Potts HWW, Dube K, Buchanan D, Lean S, Gallagher T, Johnson O, DALEY B 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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/40805
Waite JL, CURZON P, MARSH D, Sentance S, Hawden-Bennett A(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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/32505
McLachlan S, Dube K, Buchanan D, Lean S, Johnson O, Potts H, Gallagher T, Marsh W et al.(2018). Learning health systems: The research community awareness challenge. Journal of Innovation in Health Informatics vol. 25, (1) 38-40.
10.14236/jhi.v25i1.981
https://qmro.qmul.ac.uk/xmlui/handle/123456789/59240
Yet B, Marsh W, Morrissey D(2018). Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions. Studies in Health Technology and Informatics vol. 255, 175-179.
10.3233/978-1-61499-921-8-175
Waite JL, curzon P, marsh D, Sentance S (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 ,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/28463
Perkins ZB, Yet B, Glasgow S, Marsh W, Rasmussen TE, Tai NRM (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.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/13065
Waite JL, Curzon P, marsh D, Sentance S (2016). Abstraction and Common Classroom Activities. Conference: WiPSCE 2016 11th Workshop in Primary and Secondary Computing Education (Munster, Germany) from: 13/10/2016 to: 15/10/2016,
10.1145/2978249.2978272
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15115
Fenton N, Neil M, Lagnado D, William M, Yet B, CONSTANTINOU AC(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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15923
MARSH DWR, Kyrimi E. A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making. International Conference on Probabilistic Graphical Models. Conference: Conference on Probabilistic Graphical Models (Lugano, Switzerland) from: 06/09/2016 to: 09/09/2016, vol. 52, 275-286.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15046
Mossadegh S, Yet B, Perkins Z, Marsh W, Tai N(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.
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31408
Marsh W, Nur K, Yet B, Majumdar A(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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/12483
Ahmed N, Shamsujjoha M, Ali MNY, Marsh W (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, Tai N (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, Marsh DWR(2016). Clinical evidence framework for Bayesian networks. Knowledge and Information Systems vol. 50, (1) 117-143.
10.1007/s10115-016-0932-1
https://qmro.qmul.ac.uk/xmlui/handle/123456789/22339
Constantinou AC, Fenton N, Marsh W, Radlinski L(2016). From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artificial Intelligence in Medicine vol. 67, 75-93.
10.1016/j.artmed.2016.01.002
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11587
CONSTANTINOU AC, Freestone M, Marsh W, Coid J(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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10774
Constantinou AC, Yet B, Fenton N, Neil M, Marsh W(2015). 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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10760
Constantinou AC, Freestone M, Marsh W, Fenton NE, Coid J(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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15804
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 vol. 102, (5) 436-450.
10.1002/bjs.9689
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
10.1002/bjs.9689
https://qmro.qmul.ac.uk/xmlui/handle/123456789/23403
Yet B, Perkins ZB, Rasmussen TE, Tai NRM, Marsh DWR(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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/23055
Perkins ZB, Yet B, Glasgow S, Marsh W, Brohi K, Rasmussen TE, Tai NR (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, Tai N, Marsh W(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
https://qmro.qmul.ac.uk/xmlui/handle/123456789/22145
Yet B, Perkins Z, Tai N, Marsh W(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, Tai N, Marsh W(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, Brohi K, Marsh W, Tai NRM (2013). EARLY PREDICTION OF TRAUMATIC COAGULOPATHY USING ADMISSION CLINICAL VARIABLES. SHOCK. vol. 40, 25-25.
MARSH DWR, Yet B, Bastani K, Raharjo H, Lifvergren S, Bergman B(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,
https://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,
https://qmro.qmul.ac.uk/xmlui/handle/123456789/1145
Fenton N, Neil M, Marsh W, Hearty P, Radlinski L, Krause P(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, Hearty P, Marquez D, Krause P, Mishra R(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, Hearty P, Radlinski L, Krause P (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, Mishra R, Krause P (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, Cates P, Forey S, Tailor M (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, WINSBORROW L, WARD N, MARSH D(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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