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Research

Publications: Dr David Marsh

Yücetürk H, Gülle H, ┼×akar CT, Joyner C, Marsh W, Ünal E, Morrissey D, Yet B ( 2022 ) . Reducing the question burden of patient reported outcome measures using Bayesian networks . Journal of Biomedical Informatics vol. 135 ,
Marsden M, Perkins Z, Marsh W, Christian M, Lyon R, Davenport R, Tai N ( 2022 ) . 3* Evaluation of an Artificial Intelligence (AI) system to augment clinical risk prediction of Trauma Induced Coagulopathy in the pre-hospital setting: a prospective observational study . BMJ Military Health vol. 168 , ( 5 ) e1.3 - e1e1 .
Lowe C, Browne M, Marsh W, Morrissey D ( 2022 ) . Usability Testing of a Digital Assessment Routing Tool for Musculoskeletal Disorders: Iterative, Convergent Mixed Methods Study . Journal of Medical Internet Research vol. 24 , ( 8 )
Ronaldson A, Freestone M, Zhang H, Marsh W, Bhui K ( 2022 ) . Authors' Response to Peer Reviews of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study” . JMIRx Med vol. 3 , ( 2 )
Wohlgemut JM, Kyrimi E, Stoner RS, Pisirir E, Marsh W, Perkins ZB, Tai NRM ( 2022 ) . The outcome of a prediction algorithm should be a true patient state rather than an available surrogate . Journal of Vascular Surgery vol. 75 , ( 4 ) 1495 - 1496 .
Marsden M, Perkins Z, Marsh W, Christian M, Lyon R, Davenport R, Tai N ( 2022 ) . 92 Evaluation of an Artificial Intelligence (AI) System to Augment Clinical Risk Prediction of Trauma Induced Coagulopathy: A Prospective Observational Study . British Journal of Surgery vol. 109 , ( Supplement_1 )
Gulle H, Yuceturk H, Sakar C, Joyner C, Marsh W, Unal E, Morrissey D, Yet B ( 2022 ) . Can Bayesian statistical approaches reduce the questionnaire burden for respondents when PROMs and PREMs are administered electronically? . Physiotherapy vol. 114 , e80 - e81 .
MacBrayne A, Marsh W, Humby F ( 2022 ) . Review: Remote disease monitoring in rheumatoid arthritis . Indian Journal of Rheumatology vol. 0 , ( 0 )
Daley BJ, Ni’Man M, Neves MR, Bobby Huda MS, Marsh W, Fenton NE, Hitman GA, McLachlan S ( 2022 ) . mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review . Diabetic Medicine vol. 39 , ( 1 )
Hill A, Keith-Jopp C, Joyner C, Marsh W, Morrissey D ( 2021 ) . Developing BENDi: A BayEsian Network DecIsion support tool for managing low back pain . Physiotherapy vol. 113 , e83 - e83 .
Perkins ZB, Yet B, Marsden M, Glasgow S, Marsh W, Davenport R, Brohi K, Tai NRM ( 2021 ) . Early Identification of Trauma-induced Coagulopathy Development and Validation of a Multivariable Risk Prediction Model . Annals of Surgery vol. 274 , ( 6 ) E1119 - E1128 .
Lowe C, Sing HH, Marsh W, Morrissey D ( 2021 ) . Validation of a Musculoskeletal Digital Assessment Routing Tool: Protocol for a Pilot Randomized Crossover Noninferiority Trial . JMIR Research Protocols vol. 10 , ( 12 )
Neves MR, Daley BJ, Hitman GA, Huda MSB, McLachlan S, Finer S, Marsh W ( 2021 ) . Causal Dynamic Bayesian Networks for the Management of Glucose Control in Gestational Diabetes . Proceedings - 2021 IEEE 9th International Conference on Healthcare Informatics, ISCHI 2021 . 31 - 40 .
Kyrimi E, Dube K, Fenton N, Fahmi A, Neves MR, Marsh W, McLachlan S ( 2021 ) . Bayesian networks in healthcare: What is preventing their adoption? . Artificial Intelligence in Medicine vol. 116 ,
Lowe C, Sing HH, Browne M, Alwashmi MF, Marsh W, Morrissey D ( 2021 ) . Usability testing of a digital assessment routing tool: Protocol for an iterative convergent mixed methods study . JMIR Research Protocols vol. 10 , ( 5 )
Hill A, Joyner CH, Keith-Jopp C, Yet B, Sakar CT, Marsh W, Morrissey D ( 2021 ) . A bayesian network decision support tool for low back pain using a RAND appropriateness procedure: proposal and internal pilot study . JMIR Research Protocols vol. 10 , ( 1 )
Fahmi A, Soyel H, Marsh DWR, Curzon P, Macbrayne A, Humby F ( 2020 ) . From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis . Conference: Integrated Citizen Centered Digital Health and Social Care from: 26/11/2020 to: 27/11/2020 ,
Fahmi A, Soyel H, Marsh W, Curzon P, MacBrayne A, Humby F ( 2020 ) . From personalised predictions to targeted advice: Improving self-management in rheumatoid arthritis . Studies in Health Technology and Informatics vol. 275 , 62 - 66 .
Zhang H, Marsh DWR ( 2020 ) . Managing Infrastructure Asset: Bayesian Networks for Inspection and Maintenance Decisions Reasoning and Planning . Reliability Engineering and System Safety vol. 207 , 107328 - 107328 .
Ronaldson A, Freestone MC, Zhang H, Marsh W, Bhui K ( 2020 ) . Using structural equation modelling in routine clinical data: Depression, diabetes, and use of Accident & Emergency (Preprint) . JMIR Medical Informatics
Fahmi A, Macbrayne A, Kyrimi E, McLachlan S, Humby F, Marsh W, Pitzalis C ( 2020 ) . Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis . 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020 .
Perkins ZB, Yet B, Sharrock A, Rickard R, Marsh W, Rasmussen TE, Tai NRM ( 2020 ) . 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 . Annals of Surgery vol. 272 , ( 4 ) 564 - 572 .
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, Neves MR, McLachlan S, Neil M, Marsh W, Fenton N ( 2020 ) . Medical idioms for clinical Bayesian network development .
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 DW, 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, 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 Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making .
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 .
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 ,
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 WDR, Tai NRM, Rasmussen TE ( 2018 ) . Long-term, patient-centered outcomes of lower-extremity vascular trauma . Journal of Trauma and Acute Care Surgery vol. 85 , ( 1S ) 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 .
Coid JW, Ullrich S, Kallis C, Freestone M, Gonzalez R, Bui L, Igoumenou A, Constantinou A et al. ( 2016 ) . Improving risk management for violence in mental health services: a multimethods approach . Programme Grants for Applied Research vol. 4 , ( 16 ) 1 - 408 .
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 .
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 .
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 .
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 vol. 62 , 84 - 97 .
Yet B, Perkins Z, Tai N, Marsh W ( 2014 ) . Explicit evidence for prognostic Bayesian network models . Stud Health Technol Inform vol. 205 , 53 - 57 .
Winther R, Marsh W ( 2014 ) . Hazards, accidents and events-A land of confusing terms . Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and Reliability Conference, ESREL 2013 . 2545 - 2553 .
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 .
Sivell S, Marsh W, Edwards A, Manstead ASR, Clements A, Elwyn G ( 2012 ) . Theory-based design and field-testing of an intervention to support women choosing surgery for breast cancer: BresDex . Patient Education and Counseling vol. 86 , ( 2 ) 179 - 188 .
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 .
Marsh W ( 1997 ) . Harmonisation of defence standards for safety-critical software . Microprocessors and Microsystems vol. 21 , ( 1 ) 41 - 47 .
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 .