Adele H. Marshall

Roger Woods, Adele H. Marshall, Caoimhe M. Carbery, 2019, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Expediting assessments of database performance for streams of respiratory parameters

Adele H. Marshall, Dimitrios S. Nikolopoulos, Charles Gillan, 2018, Comput. Biol. Medicine.

Assessment of the benefits of Discrete Conditional Survival Models in modelling ambulance response times

Adele H. Marshall, Karen Cairns, 2009 .

The Coxian Phase-type distribution with a Hidden Node

Adele H. Marshall, Mariangela Zenga, Hannah Mitchell, 2015 .

Investigating the efficiency of fitting Coxian phase-type distributions to health care data

Adele H. Marshall, Kieran Payne, Karen Cairns, 2012 .

Predictive Modelling of Haemoglobin Variability over time using Longitudinal Multilevel Modelling

Adele H. Marshall, Lisa McCrink, Damian Fogarty, 2012 .

Introducing the DM-P approach for analysing the performances of real-time clinical decision support systems

Adele H. Marshall, Aleksandar Novakovic, A. Marshall, 2020, Knowl. Based Syst..

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

Adele H. Marshall, Andrew S. Gordon, Mariangela Zenga, 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS).

Advanced computer technologies and their benefits for Bayesian network learning

Roger Woods, Adele H. Marshall, Moslem Amiri, 2017 .

Using simulation to assess cardiac first-responder schemes exhibiting stochastic and spatial complexities

Adele H. Marshall, Karen J. Cairns, Frank Kee, 2011, J. Oper. Res. Soc..

Investigating the impact of longitudinal outliers: The use of robust joint models

Adele H. Marshall, Lisa McCrink, Damian Fogarty, 2014 .

Utilising the Coxian phase-type distribution to represent patient survival within a joint modelling framework

Adele H. Marshall, Lisa McCrink, Conor Donnelly, 2016 .

Renal Failure Monitoring: A Comparison of Stochastic and Non-Stochastic Modelling

Adele H. Marshall, Lisa McCrink, Sophia Halliday, 2015 .

Modelling traffic dynamics in motorway networks

Adele H. Marshall, Salissou Moutari, Aidan Fitzgerald, 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

Computational implementation of the conditional phase-type distribution

Adele H. Marshall, Barry Shaw, R. Donaghy, 2006 .

Academic Students’ Progress Indicators and Gender Gaps Based on Survival Analysis and Data Mining Frameworks

Adele H. Marshall, Mariangela Zenga, Aglaia Kalamatianou, 2020, Social Indicators Research.

Modelling patient flow in hospital using queuing theory

Adele H. Marshall, Barry Shaw, 2005 .

Building a simulation-based model to assess the cost-effectiveness of cardiac First-Responder schemes

Adele H. Marshall, Karen Cairns, 2009 .

Handling Uncertainty in a Medical Study of Dietary Intake During Pregnancy

David A. Bell, Adele H. Marshall, Roy Sterritt, 2002, Soft-Ware.

Exploring dynamic Bayesian belief networks for intelligent fault management systems

Adele H. Marshall, Sally I. McClean, Roy Sterritt, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Intelligent Patient Management using Dynamic Models of Clinical Variables

Adele H. Marshall, Ronan Donaghy, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

Ranking Spatial and Temporal Hotspots for Road Safety Interventions Using a Nonlinear Aggregation Approach

Adele H. Marshall, Salissou Moutari, Bronagh Coll, 2014 .

Bootstrapping Bayesian Networks in a Conditional Phase-type distribution to model patient length of stay data in hospital

Adele H. Marshall, Kieran Payne, 2011 .

Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions

Adele H. Marshall, Peter H. Millard, Sally I. McClean, 2000, PKDD.

Continuous Dynamic Bayesian networks for predicting survival of ischaemic heart disease patients

Laura A. Hill, Adele H. Marshall, Frank Kee, 2010, 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS).

Understanding complex interactions within a large-scale manufacturing system through applications of Bayesian networks

Roger Woods, Adele H. Marshall, Caoimhe M. Carbery, 2018 .

A public access defibrillation trial in urban and rural communities in Northern Ireland: developing the roster model

Adele H. Marshall, Karen J. Cairns, Frank Kee, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Conditional phase-type distributions for modelling patient length of stay in hospital

Sally McClean, Adele H. Marshall, S. McClean, 2003 .

Dynamic Bayesian networks implemented for the analysis of clinical data

Adele H. Marshall, Caoimhe M. Carbery, 2016 .

Simulating Coxian phase-type distributions for patient survival

Adele H. Marshall, Mariangela Zenga, A. Marshall, 2009, Int. Trans. Oper. Res..

A Bayesian Network Hybrid Model for Representing Accident and Emergency Waiting Times

Adele H. Marshall, Louise Burns, A. Marshall, 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).

Clustering gene expression data using Coxian phase-type survival

Laura A. Hill, Adele H. Marshall, A. Marshall, 2010, 2010 5th IEEE International Conference Intelligent Systems.

Conversion of legacy inspection data to Bridge Condition Index (BCI) to establish baseline deterioration condition history for predictive maintenance models.

Adele H. Marshall, Myra Lydon, Su Taylor, 2020 .

Exploring the Coxian phase‐type distribution within a joint model setting

Adele H. Marshall, Lisa McCrink, Conor Donnelly, 2016 .

A Bayesian approach to modelling inpatient expenditure

Adele H. Marshall, Barry Shaw, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Investigating some difficulties associated with optimisation techniques implemented in MATLAB

Adele H. Marshall, Barry Shaw, R. Donaghy, 2006 .

Using a Markov Model to Manage Hospital Resource Allocation

Adele H. Marshall, Barry Shaw, 2005 .

A Bayesian network based learning system for modelling faults in large-scale manufacturing

Adele H. Marshall, Roger Woods, Caoimhe M. Carbery, 2018, 2018 IEEE International Conference on Industrial Technology (ICIT).

Modelling the Time Taken to Experience a Type 2 Diabetes Related Complication Using a Survival Tree in Order to Advise General Practitioners

Adele H. Marshall, Reijo Sund, Christopher John Steele, 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS).

Investigating Approaches for Efficient Fitting of Coxian Phase-type Distributions for Healthcare Data

Adele H. Marshall, Kieran Payne, Karen Cairns, 2010 .

Discrete Conditional Phase-Type Model Utilising a Multiclass Support Vector Machine for the Prediction of Retinopathy of Prematurity

Adele H. Marshall, Rebecca Rollins, Eibhlin McLoone, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Using Discrete Event Simulation to assess the impact of a colorectal screening programme

Adele H. Marshall, Karen Cairns, C. R. Allen, 2009 .

Assessing the cost-effectiveness of first-responder Public Access Defibrillation schemes via simulation

Adele H. Marshall, Karen Cairns, Frank Kee, 2008 .

A Monte Carlo Simulation Model to Assess Volunteer Response Times in a Public Access Defibrillation Scheme in Northern Ireland

Adele H. Marshall, Karen J. Cairns, Michael J. Moore, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

A joint likelihood approach to the analysis of length of stay data utilising the continuous-time hidden Markov model and Coxian phase-type distribution

Adele H. Marshall, Mariangela Zenga, Hannah Mitchell, 2020, J. Oper. Res. Soc..

Accounting for Longitudinal Outliers: The use of Robust Joint Modelling

Adele H. Marshall, Lisa McCrink, Karen Cairns, 2014 .

Clustering Geriatric Patients using Continuous Markov Models

Adele H. Marshall, Kieran Payne, Karen Cairns, 2010 .

A New Data Analytics Framework Emphasising Pre-processing in Learning AI Models for Complex Manufacturing Systems

Roger Woods, Adele H. Marshall, Caoimhe M. Carbery, 2018 .

Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems

Carolyn McGregor, Adele H. Marshall, Aleksandar Novakovic, 2021, Advances in Computer Vision and Computational Biology.

Optimizing the Belfast Bike Sharing Scheme

Adele H. Marshall, Aleksandar Novakovic, Nadezda Demidova, 2021, IntelliSys.

Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models

Adele H. Marshall, Aleksandar Novakovic, Carolyn McGregor, 2021, DS.

The Northern Ireland Public Access Defibrillation (NIPAD) study: effectiveness in urban and rural populations

Adele H. Marshall, Frank Kee, Karen Cairns, 2008, Heart.

Experimenting with the Coxian Phase-Type Distribution to Uncover Suitable Fits

Adele H. Marshall, Mariangela Zenga, 2012 .

Using the hidden Markov model to capture quality of care in Lombardy geriatric wards

Adele H. Marshall, Mariangela Zenga, Hannah Mitchell, 2015 .

Predicting elderly patient length of stay in hospital and community care using a series of conditional Coxian phase-type distributions, further conditioned on a survival tree

Adele H. Marshall, Mariangela Zenga, A. Marshall, 2018, Health care management science.

Modelling the total time spent in an accident and emergency department and the associated costs

Adele H. Marshall, Barry Shaw, 2007 .

Patient Activity in Hospital using Discrete Conditional Phase-type (DC-PH) Models

Adele H. Marshall, Barry Shaw, Michele Burns, 2007 .

Advances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease Patients

Adele H. Marshall, Lisa McCrink, Karen Cairns, 2013 .

Modelling the Length of Stay of Geriatric Patients in Emilia Romagna Hospitals Using Coxian Phase-Type Distributions with Covariates

Adele H. Marshall, Mariangela Zenga, Hannah Mitchell, 2014 .

A study of the effectiveness of public access defibrillation in urban and rural populations in Northern Ireland: The Northern Ireland Public Access Defibrillation (NIPAD) study

Adele H. Marshall, Frank Kee, Karen Cairns, 2006 .

An Overview of Modelling Patient Behaviour in Health Care Systems

Adele H. Marshall, Christos Vasilakis, 2003 .