Adele H. Marshall

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 17

Top Topics

Key Performance Indicators

Knowledge Discovery

Machine Learning

Top Venues

J. Oper. Res. Soc.

Publications

Aleksandar Novakovic, Adele H. Marshall, Carolyn McGregor, Nadja Bressan, Kate McAllister, Emily Courcier
Using machine learning to improve bovine tuberculosis control in herd level outbreaks. EMBC (2023)
Kyle McBride, Aleksandar Novakovic, Adele H. Marshall, Emily Courcier
Knowledge Discovery of Bovine Tuberculosis in the Eurasian Badger using Machine Learning Techniques. CSCI (2022)
Aleksandar Novakovic, Adele H. Marshall
The CP-ABM approach for modelling COVID-19 infection dynamics and quantifying the effects of non-pharmaceutical interventions. Pattern Recognit. 130 (2022)
Adele H. Marshall, Aleksandar Novakovic
Process Mining the Performance of a Real-Time Healthcare 4.0 Systems Using Conditional Survival Models. Algorithms 15 (6) (2022)
Laura M. Boyle, Adele H. Marshall, Mark Mackay
A framework for developing generalisable discrete event simulation models of hospital emergency departments. Eur. J. Oper. Res. 302 (1) (2022)
Nadezda Demidova, Aleksandar Novakovic, Adele H. Marshall
Optimizing the Belfast Bike Sharing Scheme. IntelliSys (2) (2021)
Hannah J. Mitchell, Adele H. Marshall, Mariangela Zenga
A joint likelihood approach to the analysis of length of stay data utilising the continuous-time hidden Markov model and Coxian phase-type distribution. J. Oper. Res. Soc. 72 (11) (2021)
Aleksandar Novakovic, Adele H. Marshall, Carolyn McGregor
Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models. DS (2021)
Aleksandar Novakovic, Adele H. Marshall
Introducing the DM-P approach for analysing the performances of real-time clinical decision support systems. Knowl. Based Syst. 198 (2020)
Nicola-Ann Stevens, Myra Lydon, Adele H. Marshall, Su Taylor
Identification of Bridge Key Performance Indicators Using Survival Analysis for Future Network-Wide Structural Health Monitoring. Sensors 20 (23) (2020)
Adele H. Marshall, Aleksandar Novakovic
Analysing the Performance of a Real-Time Healthcare 4.0 System using Shared Frailty Time to Event Models. CBMS (2019)
Charles J. Gillan, Aleksandar Novakovic, Adele H. Marshall, Murali Shyamsundar, Dimitrios S. Nikolopoulos
Expediting assessments of database performance for streams of respiratory parameters. Comput. Biol. Medicine 100 (2018)
Caoimhe M. Carbery, Roger F. Woods, Adele H. Marshall
A Bayesian network based learning system for modelling faults in large-scale manufacturing. ICIT (2018)
Andrew S. Gordon, Adele H. Marshall, Mariangela Zenga
A Discrete Conditional Phase-Type Model Utilising a Survival Tree for the Identification of Elderly Patient Cohorts and Their Subsequent Prediction of Length of Stay in Hospital. CBMS (2016)
Christopher John Steele, Adele H. Marshall, Anne Kouvonen, Frank Kee, Reijo Sund
Modelling the Time Taken to Experience a Type 2 Diabetes Related Complication Using a Survival Tree in Order to Advise General Practitioners. CBMS (2016)
Caoimhe M. Carbery, Adele H. Marshall, Roger F. Woods
Proposing the Deep Dynamic Bayesian Network as a Future Computer Based Medical System. CBMS (2016)
Rebecca Rollins, Adele H. Marshall, Eibhlin McLoone, Sarah Chamney
Discrete Conditional Phase-Type Model Utilising a Multiclass Support Vector Machine for the Prediction of Retinopathy of Prematurity. CBMS (2015)
Adele H. Marshall, Barry Shaw
Computational learning of the conditional phase-type (C-Ph) distribution. Comput. Manag. Sci. 11 (1-2) (2014)
Adele H. Marshall, Kieran Payne, Karen J. Cairns, Stan Craig, Emma McCall
Modelling the development of late onset sepsis and length of stay using discrete conditional survival models with a classification tree component. CBMS (2012)
Paul R. Harper, Vincent A. Knight, Adele H. Marshall
Discrete Conditional Phase-type models utilising classification trees: Application to modelling health service capacities. Eur. J. Oper. Res. 219 (3) (2012)
Aidan Fitzgerald, Salissou Moutari, Adele H. Marshall
Modelling traffic dynamics in motorway networks. ITSC (2012)
Karen J. Cairns, Adele H. Marshall, Frank Kee
Using simulation to assess cardiac first-responder schemes exhibiting stochastic and spatial complexities. J. Oper. Res. Soc. 62 (6) (2011)
Adele H. Marshall, Laura A. Hill
Clustering gene expression data using Coxian phase-type survival. IEEE Conf. of Intelligent Systems (2010)
Adele H. Marshall, Laura A. Hill, Frank Kee
Continuous Dynamic Bayesian networks for predicting survival of ischaemic heart disease patients. CBMS (2010)
Adele H. Marshall, Mariangela Zenga
Simulating Coxian phase-type distributions for patient survival. Int. Trans. Oper. Res. 16 (2) (2009)
Adele H. Marshall, Lisa McCrink
Discrete Conditional Phase-type model (DC_Ph) for patient waiting time with a logistic regression component to predict patient admission to hospital. CBMS (2009)
Adele H. Marshall, Barry Shaw
Modeling the Survival of Hip Fracture Patients Using a Conditional Phase-Type Distribution. CBMS (2008)
Adele H. Marshall, Louise Burns
A Bayesian Network Hybrid Model for Representing Accident and Emergency Waiting Times. CBMS (2007)
Adele H. Marshall, Karen J. Cairns, Frank Kee, Michael J. Moore, Andrew J. Hamilton, A. A. Jennifer Adgey
A Monte Carlo Simulation Model to Assess Volunteer Response Times in a Public Access Defibrillation Scheme in Northern Ireland. CBMS (2006)
Adele H. Marshall, Ronan Donaghy
Intelligent Patient Management using Dynamic Models of Clinical Variables. CBMS (2006)
Barry Shaw, Adele H. Marshall
Modeling the Health Care Costs of Geriatric Inpatients. IEEE Trans. Inf. Technol. Biomed. 10 (3) (2006)
Karen J. Cairns, Adele H. Marshall, Frank Kee
A Public Access Defibrillation Trial in Urban and Rural Communities in Northern Ireland: Developing the Roster Model. CBMS (2005)
Adele H. Marshall, Roy Sterritt
Clustering Gene Expression Data using Continuous Markov Models. CSB Workshops (2005)
Barry Shaw, Adele H. Marshall
A Bayesian Approach to Modelling Inpatient Expenditure. CBMS (2005)
Adele H. Marshall, David A. Bell, Roy Sterritt
Handling Uncertainty in a Medical Study of Dietary Intake During Pregnancy. Soft-Ware (2002)
Roy Sterritt, Adele H. Marshall, C. Mary Shapcott, Sally I. McClean
Exploring dynamic Bayesian belief networks for intelligent fault management systems. SMC (2000)
Adele H. Marshall, Sally I. McClean, Mary Shapcott, Peter H. Millard
Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions. PKDD (2000)