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.

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

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.

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)

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,

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.

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

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.

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,

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.

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.

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,

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)

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.

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.

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.

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 ,

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.

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,

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

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.

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.

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.

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.

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.

Yet B, Perkins ZB, Tai NRM, Marsh DWR(2016). Clinical evidence framework for Bayesian networks. Knowledge and Information Systems vol. 50, (1) 117-143.

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.

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.

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.

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)

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.

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

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.

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.

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.

Yet B, Marsh DWR(2014). Compatible and incompatible abstractions in Bayesian networks. Knowledge-Based Systems

Yet B, Perkins Z, Tai N, Marsh W(2014). Explicit evidence for prognostic Bayesian network models. Stud Health Technol Inform vol. 205, 53-57.

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.

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.

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.

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,

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,

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.

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.

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.

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

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.

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.

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.

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.