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  1. Queen Mary University of London
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Publications: DR David Marsh

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Hill A, Morrissey D, Marsh W ( 2025 ) . “It’s the future, come on!”: a think aloud study exploring clinicians’ use of knowledge-based AI decision support . International Journal of Medical Informatics vol. 204 , Article 106089 , 106089 - 106089 .
Fahmi A, MacBrayne A, Humby F, Curzon P, Marsh W ( 2025 ) . Dynamic Bayesian network models for self-management of chronic diseases: Rheumatoid arthritis case-study . Computers in Biology and Medicine vol. 189 , Article 109909 , 109909 - 109909 .
Hill A, Marsh W, Morrissey D ( 2025 ) . “It’s the future, come on!”: a think aloud study exploring clinicians’ use of knowledge-based AI decision support .
Marsden MER, Perkins ZB, Pisirir E, Marsh W, Kyrimi E, Rossetto A, Lyon RL, Weaver A et al. ( 2025 ) . Early clinical evaluation of a machine-learning system for risk prediction of trauma-induced coagulopathy in the prehospital setting . Emergency Medicine Journal
Kyrimi E, McLachlan S, Wohlgemut JM, Perkins ZB, Lagnado DA, Marsh W, Gimson A, Shafti A et al. ( 2025 ) . Explainable AI: definition and attributes of a good explanation for health AI . AI and Ethics vol. 5 , ( 4 ) 3883 - 3896 .
Alptekin C, Wohlgemut JM, Perkins ZB, Marsh W, Tai NRM, Yet B ( 2025 ) . Presenting predictions and performance of probabilistic models for clinical decision support in trauma care . International Journal of Medical Informatics vol. 194 , Article 105702 , 105702 - 105702 .
Kyrimi E, Mossadegh S, Wohlgemut JM, Stoner RS, Tai NRM, Marsh W ( 2025 ) . Counterfactual reasoning using causal Bayesian networks as a healthcare governance tool . International Journal of Medical Informatics vol. 193 , Article 105681 , 105681 - 105681 .
Tuncer Şakar C, Keith‐Jopp C, Yet B, Joyner C, Hill A, Roberts J, Marsh W, Morrissey D ( 2024 ) . A Multi‐Criteria Decision Support Tool for Shared Decision Making in Clinical Consultation . Journal of Multi-Criteria Decision Analysis vol. 31 , ( 5-6 ) Article e70001 ,
Wohlgemut JM, Pisirir E, Stoner RS, Perkins ZB, Marsh W, Tai NRM, Kyrimi E ( 2024 ) . A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems . BMC Medical Informatics and Decision Making vol. 24 , ( 1 ) Article 323 ,
Kyrimi E, McLachlan S, Wohlgemut JM, Perkins ZB, Lagnado DA, Marsh W, Group TEE ( 2024 ) . Explainable AI: Definition and attributes of a good explanation for health AI .
Hill A, Morrissey D, Marsh W ( 2024 ) . What characteristics of clinical decision support system implementations lead to adoption for regular use? A scoping review . BMJ Health & Care Informatics vol. 31 , ( 1 ) e101046 - e101046 .
Lowe C, Sephton R, Marsh W, Morrissey D ( 2024 ) . Evaluation of a Musculoskeletal Digital Assessment Routing Tool (DART): Crossover Noninferiority Randomized Pilot Trial . JMIR Formative Research vol. 8 , e56715 - e56715 .
Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Yet B, Marsh W, Perkins ZB, Tai NRM ( 2024 ) . Bayesian networks may allow better performance and usability than logistic regression . Critical Care vol. 28 , ( 1 ) Article 234 ,
Lowe C, Browne M, Marsh W, Morrissey D ( 2024 ) . Digital Health Technology - Narrowing or Widening the Digital Divide? Learning From Validation of a Musculoskeletal Digital Assessment Tool (DART) . Physiotherapy vol. 123 , e86 - e87 .
Lowe C, Sephton R, Marsh W, Morrissey D ( 2024 ) . Evaluation of a Musculoskeletal Digital Assessment Routing Tool (DART): Crossover Noninferiority Randomized Pilot Trial (Preprint) .
Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Christian M, Hurst T, Marsh W, Perkins ZB et al. ( 2024 ) . Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome . Trauma Surgery & Acute Care Open vol. 9 , ( 1 ) e001214 - e001214 .
Kyrimi E, Stoner RS, Perkins ZB, Pisirir E, Wohlgemut JM, Marsh W, Tai NRM ( 2024 ) . Updating and recalibrating causal probabilistic models on a new target population . Journal of Biomedical Informatics vol. 149 , Article 104572 , 104572 - 104572 .
MacBrayne A, Curzon P, Soyel H, Marsh W, Fenton N, Pitzalis C, Humby F ( 2023 ) . Attitudes towards technology supported rheumatoid arthritis care: investigating patient- and clinician-perceived opportunities and barriers . Rheumatology Advances in Practice vol. 7 , ( 3 ) Article rkad089 ,
Hill A, Joyner CH, Keith-Jopp C, Yet B, Tuncer Sakar C, Marsh W, Morrissey D ( 2023 ) . Assessing Serious Spinal Pathology Using Bayesian Network Decision Support: Development and Validation Study . JMIR Formative Research vol. 7 , e44187 - e44187 .
Tandle S, Wohlgemut JM, Marsden MER, Pisirir E, Kyrimi E, Stoner RS, Marsh W, Perkins ZB et al. ( 2023 ) . Enhancing the clinical relevance of haemorrhage prediction models in trauma . Military Medical Research vol. 10 , ( 1 ) Article 43 ,
Wohlgemut J, McMullen H, Marsden M, Marsh W, Perkins Z, Tai N ( 2023 ) . FTP1.7 Critical decision analysis of pre-hospital major haemorrhage protocol activation . British Journal of Surgery vol. 110 , ( Supplement_6 ) Article znad241.335 ,
Wohlgemut JM, Pisirir E, Kyrimi E, Stoner RS, Marsh W, Perkins ZB, Tai NRM ( 2023 ) . Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis . JAMIA Open vol. 6 , ( 3 ) Article ooad051 ,
Pisirir E, Wohlgemut JM, Kyrimi E, Stoner RS, Perkins ZB, Tai NRM, Marsh DWR ( 2023 ) . A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models . 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) . Conference: 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) from: 26/06/2023 to: 29/06/2023 , 388 - 397 .
MacBrayne A, Soyel H, Marsh W, Fenton N, Pitzalis C, Curzon P, Humby F ( 2023 ) . E073 Attitudes to technology-supported rheumatoid arthritis care, questionnaire study: opportunities for technology to improve RA care . Rheumatology . vol. 62 ,
MacBrayne A, Soyel H, Marsh W, Fenton N, Pitzalis C, Curzon P, Humby F ( 2023 ) . P113 Attitudes to Technology supported Rheumatoid Arthritis care Questionnaire study: Barriers to People with RA & their clinicians using Technology in the care pathway . Rheumatology . vol. 62 ,
MacBrayne A, Curzon P, Soyel H, Marsh W, Fenton N, Pitzalis C, Humby F ( 2023 ) . P133 Attitudes to Technology supported Rheumatoid Arthritis care: Opportunities & Barriers for technology in RA - Key themes from Qualitative arm of Mixed-Methods Study . Rheumatology . vol. 62 ,
Wohlgemut JM, Marsden MER, Stoner RS, Pisirir E, Kyrimi E, Grier G, Christian M, Hurst T et al. ( 2023 ) . Diagnostic accuracy of clinical examination to identify life- and limb-threatening injuries in trauma patients . Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine vol. 31 , ( 1 ) Article 18 ,
Hill A, Joyner CH, Keith-Jopp C, Yet B, Tuncer Sakar C, Marsh W, Morrissey D ( 2022 ) . Assessing Serious Spinal Pathology Using Bayesian Network Decision Support: Development and Validation Study (Preprint) .
Yücetürk H, Gülle H, Şakar 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 , Article 104230 , 104230 - 104230 .
MacBrayne A, Marsh W, Humby F ( 2022 ) . Review: Remote Disease Monitoring in Rheumatoid Arthritis . Indian Journal of Rheumatology vol. 17 , ( 3S )
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 - e1 .
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 ) e38352 - e38352 .
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 ) e38010 - e38010 .
Ronaldson A, Freestone M, Zhang H, Marsh W, Bhui K ( 2022 ) . Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study . JMIRx Med vol. 3 , ( 2 ) e22912 - e22912 .
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 .
Lowe C, Browne M, Marsh W, Morrissey D ( 2022 ) . Usability Testing of a Digital Assessment Routing Tool for Musculoskeletal Disorders: An Iterative Convergent Mixed Methods Study (Preprint) .
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” (Preprint) .
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 ) Article znac041.005 ,
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 .
Hill A, Joyner C, Yet B, Keith-Jopp C, Sakar CT, Marsh W, Morrissey D ( 2022 ) . 29 Managing serious pathology in low back pain: development and\n validation of a bayesian network decision support tool . Abstracts . Conference: #Sportskongres 2022, 3–5 February, Copenhagen, DenmarkA2.2 - A2 .
Lowe C, Browne M, Marsh W, Morrissey D ( 2022 ) . 48 Usability testing of a musculoskeletal digital assessment routing\n tool: an iterative convergent mixed methods study . Abstracts . Conference: #Sportskongres 2022, 3–5 February, Copenhagen, DenmarkA4.3 - A5 .
Lowe C, Hanuman Sing H, 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 ) e31541 - e31541 .
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 .
Daley BJ, Ni’Man M, Neves MR, Bobby Huda MS, Marsh W, Fenton NE, Hitman GA, McLachlan S ( 2021 ) . mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review . Diabetic Medicine vol. 39 , ( 1 ) Article e14735 ,
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 . 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI) . Conference: 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI) from: 09/08/2021 to: 12/08/2021 , 31 - 40 .
Lowe C, Hanuman Sing H, Marsh W, Morrissey D ( 2021 ) . Validation of a Musculoskeletal Digital Assessment Routing Tool: Protocol for a Pilot Randomized Crossover Noninferiority Trial (Preprint) .
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 , Article 102079 , 102079 - 102079 .
Lowe C, Hanuman Sing H, 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 ) e27205 - e27205 .
Zhang H, Marsh DWR ( 2021 ) . Managing infrastructure asset: Bayesian networks for inspection and maintenance decisions reasoning and planning . Reliability Engineering & System Safety vol. 207 , Article 107328 , 107328 - 107328 .
Hill A, Joyner CH, Keith-Jopp C, Yet B, Tuncer Sakar C, 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 ) e21804 - e21804 .
Lowe C, Hanuman Sing H, 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 (Preprint) .
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 .
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) . Conference: 2020 IEEE International Conference on Healthcare Informatics (ICHI) from: 30/11/2020 to: 03/12/2020 , 1 - 7 .
Kyrimi E, Neves MR, McLachlan S, Neil M, Marsh W, Fenton N ( 2020 ) . Medical idioms for clinical Bayesian network development . Journal of Biomedical Informatics vol. 108 , Article 103495 , 103495 - 103495 .
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 .
Ronaldson A, Freestone M, Zhang H, Marsh W, Bhui K ( 2020 ) . Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study (Preprint) .
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 . Annals of Surgery vol. 272 , ( 4 ) 564 - 572 .
Hill A, Joyner CH, Keith-Jopp C, Yet B, Tuncer Sakar C, Marsh W, Morrissey D ( 2020 ) . A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study (Preprint) .
Kyrimi E, Neves MR, McLachlan S, Neil M, Marsh W, Fenton N ( 2020 ) . Medical idioms for clinical Bayesian network development .
Waite J, Curzon P, Marsh W, Sentance S ( 2020 ) . Difficulties with design: The challenges of teaching design in K-5 programming . Computers & Education vol. 150 , Article 103838 , 103838 - 103838 .
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 .
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 , Article 101812 , 101812 - 101812 .
Perkins ZB, Yet B, Marsden M, Glasgow S, Marsh W, Davenport R, Brohi K, Tai NRM ( 2020 ) . Early Identification of Trauma-induced Coagulopathy . Annals of Surgery vol. 274 , ( 6 ) e1119 - e1128 .
Wilk M, Marsh DWR, Freitas SD, Prowle J ( 2020 ) . Predicting Length of Stay in Hospital Using Electronic Records Available at the Time of Admission . MIE vol. 270 , 377 - 381 .
Neves MR, Marsh DWR ( 2019 ) . Modelling the Impact of AI for Clinical Decision Support . 292 - 297 .
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 .
Waite J, Curzon P, Marsh W, Sentance S ( 2018 ) . Comparing K-5 teachers' reported use of design in teaching programming and planning in teaching writing . Proceedings of the 13th Workshop in Primary and Secondary Computing Education . Conference: WiPSCE '18: Workshop in Primary and Secondary Computing Education1 - 10 .
Marsden MER, Mossadegh S, Marsh W, Tai N ( 2018 ) . Development of a major incident triage tool: the importance of evidence from implementation studies . BMJ Military Health vol. 166 , ( 3 ) 204 - 204 .
Perkins ZB, Yet B, Glasgow S, Marsh DWR, 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, William D, Marsh R ( 2018 ) . Towards a model based asset deterioration framework represented by probabilistic relational models . 671 - 679 .
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 . BMJ Health & Care Informatics vol. 25 , ( 2 ) 77 - 87 .
Waite JL, Curzon P, Marsh W, Sentance S, Hadwen-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 ) 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 . BMJ Health & Care Informatics vol. 25 , ( 1 ) 38 - 40 .
Yet Barbaros, Marsh William, Morrissey Dylan ( 2018 ) . Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions .
Waite J, Curzon P, Marsh W, Sentance S ( 2017 ) . K-5 Teachers' Uses of Levels of Abstraction Focusing on Design . Presented at: WiPSCE '17: 12th Workshop in Primary and Secondary Computing Education ,
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 . 1056 - 1063 .
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 .
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 J, Curzon P, Marsh W, Sentance S ( 2016 ) . Abstraction and common classroom activities . Proceedings of the 11th Workshop in Primary and Secondary Computing Education . Conference: WiPSCE '16: 11th Workshop in Primary and Secondary Computing Education112 - 113 .
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 .
( 2016 ) . Patey Prize Papers . British Journal of Surgery . vol. 103 , 6 - 49 .
Yet B, Perkins ZB, Tai NRM, Marsh DWR ( 2016 ) . Clinical evidence framework for Bayesian networks . Knowledge and Information Systems vol. 50 , ( 1 ) 117 - 143 .
Kyrimi E, Marsh W ( 2016 ) . A progressive explanation of inference in 'Hybrid' Bayesian networks for supporting clinical decision making . Journal of Machine Learning Research . vol. 52 , 275 - 286 .
Constantinou AC, Fenton NE, Marsh W, Radlinski L ( 2016 ) . From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support . Artif. Intell. Medicine vol. 67 , 75 - 93 .
Fenton NE, Neil M, Lagnado DA, Marsh W, Yet B, Constantinou AC ( 2016 ) . How to model mutually exclusive events based on independent causal pathways in Bayesian network models . Knowl. Based Syst. vol. 113 , 39 - 50 .
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 .
Constantinou AC, Yet B, Fenton NE, Neil M, Marsh W ( 2016 ) . Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences . Artif. Intell. Medicine vol. 66 , 41 - 52 .
Ahmed N, Shamsujjoha M, Ali MNY, Marsh W ( 2015 ) . 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) . Conference: 2015 18th International Conference on Computer and Information Technology (ICCIT) from: 21/12/2015 to: 23/12/2015 , 353 - 357 .
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 vol. 102 , ( 5 ) 436 - 450 .
Constantinou AC, Freestone M, Marsh W, Coid J ( 2015 ) . Causal inference for violence risk management and decision support in forensic psychiatry . Decis. Support Syst. vol. 80 , 42 - 55 .
Constantinou AC, Freestone M, Marsh W, Fenton NE, Coid J ( 2015 ) . Risk assessment and risk management of violent reoffending among prisoners . Expert Syst. Appl. vol. 42 , Article 21 , 7511 - 7529 .
Yet B, Perkins ZB, Rasmussen TE, Tai NRM, Marsh DWR ( 2014 ) . Combining data and meta-analysis to build Bayesian networks for clinical decision support . Journal of Biomedical Informatics vol. 52 , 373 - 385 .
Perkins ZB, Yet B, Glasgow S, Marsh W, Brohi K, Rasmussen TE, Tai NR ( 2014 ) . PS170. 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, Marsh DWR ( 2014 ) . Compatible and incompatible abstractions in Bayesian networks . Knowledge-Based Systems vol. 62 , 84 - 97 .
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 .
Yet B, Marsh DWR ( 2014 ) . Compatible and incompatible abstractions in Bayesian networks . Knowledge Based Systems vol. 62 , 84 - 97 .
Yet Barbaros, Perkins Zane, Tai Nigel, Marsh William ( 2014 ) . Explicit Evidence for Prognostic Bayesian Network Models .
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 .
Winther R, Marsh W ( 2013 ) . Hazards, accidents and events-a land of confusing terms . 2545 - 2552 .
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 .
Yet B, Bastani K, Raharjo H, Lifvergren S, Marsh W, Bergman B ( 2013 ) . Decision support system for Warfarin therapy management using Bayesian networks . Decision Support Systems vol. 55 , ( 2 ) 488 - 498 .
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 .
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 . Reliability Risk and Safety Back to the Future . 2261 - 2266 .
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 ,
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 .
Fenton N, Neil M, Marsh W, Hearty P, Radliński Ł, 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 . Proc. IMechE, PartO: J. Risk and Reliability vol. 222 , Article O2 , 105-114 - 105-114 .
Fenton N, Neil M, Marsh W, Hearty P, Radlinski L, Krause P ( 2007 ) . Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction . Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007) . Conference: 2007 3rd International Workshop on Predictor Models in Software Engineering from: 20/05/2007 to: 26/05/2007 , 2 - 2 .
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 . 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 . Information and Software Technology vol. 49 , ( 1 ) 32 - 43 .
Marsh W, Bearfield G ( 2007 ) . Representing Parameterised Fault Trees Using Bayesian Networks . 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 . 52 - 66 .
Marsh W, Bearfield G ( 2004 ) . Using Bayesian Networks to Model Accident Causation in the UK Railway Industry . 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 . vol. 4 , 31 - 45 .
Kyrimi E, Mossadegh S, Marsden MER, Fenton N, Perkins Z, Tai N, Marsh W . Capturing the Progression of Acute Conditions and the Dynamics of Clinical Decision-Making Using Bayesian Networks .
Fenton N, Marsh W, Neil M, Cates P, Forey S, Tailor M . Making resource decisions for software projects . Proceedings. 26th International Conference on Software Engineering . Conference: Proceedings. 26th International Conference on Software Engineering397 - 406 .
CURZON P, fenton N, marsh DW, alomainy A . Supporting physical activity as part of intelligent digital management of chronic conditions . Conference: GetAMoveOn Network+ workshop: Using technology to support physical activity in older people
MARSH DWR, Yet B, Perkins Z, Fenton N . Towards a Method of Building Causal Bayesian\nNetworks 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 ,
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