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Publications:  Dr David Marsh

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.
Yet B, Perkins ZB, Tai NRM et al. (2017) . 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
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.
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
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
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.
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.
MARSH DWR, Zhang H. Bayesian Network Models for Making Maintenance Decisions from Data and Expert Judgment. Conference: ESREL 2016 European Safety and Reliability (Glasgow) from: 25/09/2016 to: 29/09/2016,
http://qmro.qmul.ac.uk/xmlui/handle/123456789/13065
Fenton N, Neil M, Lagnado D et al.. 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
MARSH DWR, Yet B, Perkins Z et al.. Towards a Method of Building Causal Bayesian Networks for Prognostic Decision Support. Conference: ProBioMed 11, AIME'11 Workshop on Probabilistic Problem Solving in Biomedicine (Bled, Slovenia) from: 02/07/2011 to: 02/07/2011,
http://qmro.qmul.ac.uk/xmlui/handle/123456789/3204
MARSH DWR, Yet B, Majumdar A et al.. Using operational data for decision making: a feasibility study in rail maintenance.SAFETY AND RELIABILITY, 2016
10.1080/09617353.2016.1148923
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12483
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