Combining statistical information in set theoretic estimation. - Patrick L. Combettes; Thierry J. Chaussalet (IEEE Signal Process. Lett., 1996)

A discrete event simulation approach for evaluation screening policies for Alzheimer's disease. - Thierry J. Chaussalet; Haifeng Xie; Wayne A. Thompson; Peter H. Millard (ESM, 2000)

A Tool for Studying the Effects of Residents' Attributes on Patterns of Length of Stay in Long-Term Care. - Haifeng Xie; Thierry J. Chaussalet; Peter H. Millard (CBMS, 2005)

A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level. - Christine Pelletier; Thierry J. Chaussalet; Haifeng Xie (J. Oper. Res. Soc., 2005)

A System for Patient Management Based Discrete-Event Simulation and Hierarchical Clustering. - Anthony Codrington-Virtue; Thierry J. Chaussalet; Peter H. Millard; Paul Whittlestone; John Kelly (CBMS, 2006)

A Method for Determining an Emergency Readmission Time Window for Better Patient Management. - Eren Demir; Thierry J. Chaussalet; Haifeng Xie; Peter H. Millard (CBMS, 2006)

The ICMCC second conference on "Medical and Care Compunetics". - Thierry J. Chaussalet; Lodewijk Bos (Int. J. Medical Informatics, 2006)

Six methodological steps to build medical data warehouses for research. - Nicolae B. Szirbik; Christine Pelletier; Thierry J. Chaussalet (Int. J. Medical Informatics, 2006)

A software tool to aid long-term care budget planning at local authority level. - Haifeng Xie; Thierry J. Chaussalet; Sam Toffa; Peter Crowther (Int. J. Medical Informatics, 2006)

A Model-Based Approach to the Analysis of Patterns of Length of Stay in Institutional Long-Term Care. - Haifeng Xie; Thierry J. Chaussalet; Peter H. Millard (IEEE Trans. Inf. Technol. Biomed., 2006)

Patients Flow: A Mixed-Effects Modelling Approach to Predicting Discharge Probabilities. - Shola Adeyemi; Thierry J. Chaussalet; Haifeng Xie; Peter H. Millard (CBMS, 2007)

Determining Readmission Time Window Using Mixture of Generalised Erlang Distribution. - Eren Demir; Thierry J. Chaussalet; Haifeng Xie (CBMS, 2007)

A Semi-open Queueing Network Approach to the Analysis of Patient Flow in Healthcare Systems. - Haifeng Xie; Thierry J. Chaussalet; Mike Rees (CBMS, 2007)

A simple graphical decision aid for the placement of elderly people in long-term care. - Haifeng Xie; Thierry J. Chaussalet; Wayne A. Thompson; Peter H. Millard (J. Oper. Res. Soc., 2007)

A Random Effects Sensitivity Analysis for Patient Pathways Model. - Shola Adeyemi; Thierry J. Chaussalet (CBMS, 2008)

Modelling and Performance Measure of a Perinatal Network Centre in the United Kingdom. - Md. Asaduzzaman; Thierry J. Chaussalet (CBMS, 2008)

Balancing the NHS balanced scorecard! - Brijesh Patel; Thierry J. Chaussalet; Peter H. Millard (Eur. J. Oper. Res., 2008)

Emergency Readmission Criterion: A Technique for Determining the Emergency Readmission Time Window. - Eren Demir; Thierry J. Chaussalet; Haifeng Xie; Peter H. Millard (IEEE Trans. Inf. Technol. Biomed., 2008)

A systematic approach in defining readmission. - Eren Demir; Thierry J. Chaussalet (CBMS, 2009)

An approach to exploring the effect of weather variations on chronic disease incidence rate and potential changes in future health systems. - Muhammad Saiful Islam 002; Thierry J. Chaussalet; Nazmiye Ozkan; Eren Demir (CBMS, 2010)

Data preparation for clinical data mining to identify patients at risk of readmission. - Erich Teichmann; Eren Demir; Thierry J. Chaussalet (CBMS, 2010)

A loss network model with overflow for capacity planning of a neonatal unit. - Md. Asaduzzaman; Thierry J. Chaussalet; Nicola J. Robertson (Ann. Oper. Res., 2010)

The impact of temperature disparity on emergency readmissions and patient flows. - Muhammad Saiful Islam 002; Thierry J. Chaussalet; Nazmiye Ozkan; Salma Chahed; Eren Demir; Christophe Sarran (CBMS, 2011)

Data warehousing based architecture for the reporting of the NHS primary care prescribing. - Sabina Redzanovic; Panagiotis Chountas; Thierry J. Chaussalet; Farid Fouladinejad; Mohamed Tadjer (CBMS, 2011)

Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning. - Philip Worrall; Thierry J. Chaussalet (CBMS, 2011)

Using simplified discrete-event simulation models for health care applications. - Anthony Virtue; John Kelly; Thierry J. Chaussalet (WSC, 2011)

A Generalized Loss Network Model with Overflow for Capacity Planning of a Perinatal Network - Md. Asaduzzaman; Thierry J. Chaussalet (CoRR, 2011)

Nonproportional random effects modelling of a neonatal unit operational patient pathways. - Shola Adeyemi; Thierry J. Chaussalet; Eren Demir (Stat. Methods Appl., 2011)

Forecasting long-term care demand with incomplete information: A grey modelling approach. - Philip Worrall; Thierry J. Chaussalet (CBMS, 2012)

Profiling hospitals based on emergency readmission: A multilevel transition modelling approach. - Eren Demir; Thierry J. Chaussalet; Shola Adeyemi; Sam Toffa (Comput. Methods Programs Biomed., 2012)

A Decision Support Tool for Health Service Re-design. - Eren Demir; Salma Chahed; Thierry J. Chaussalet; Sam Toffa; Farid Fouladinajed (J. Medical Syst., 2012)

Risk prediction model using fuzzy regression method for predicting unplanned hospital admissions. - Manisha Rathi; Thierry J. Chaussalet (SysCon, 2013)

Towards an evidence-based decision making healthcare system management: Modelling patient pathways to improve clinical outcomes. - Shola Adeyemi; Eren Demir; Thierry J. Chaussalet (Decis. Support Syst., 2013)

Healthcare planning and its potential role increasing operational efficiency in the health sector: A viewpoint. - Anthony Virtue; Thierry J. Chaussalet; John Kelly (J. Enterp. Inf. Manag., 2013)

A Review of Dynamic Bayesian Network Techniques with Applications in Healthcare Risk Modelling. - Mohsen Mesgarpour; Thierry J. Chaussalet; Salma Chahed (SCOR, 2014)

Capacity planning of a perinatal network with generalised loss network model with overflow. - Md. Asaduzzaman; Thierry J. Chaussalet (Eur. J. Oper. Res., 2014)

Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data. - Mohsen Mesgarpour; Thierry J. Chaussalet; Salma Chahed (CBMS, 2016)

Predictive Risk Modelling for Integrated Care: A Structured Review. - Mohsen Mesgarpour; Thierry J. Chaussalet; Philip Worrall; Salma Chahed (CBMS, 2016)

Ensemble Risk Model of Emergency Admissions (ERMER). - Mohsen Mesgarpour; Thierry J. Chaussalet; Salma Chahed (Int. J. Medical Informatics, 2017)

Corrigendum to "Ensemble Risk Model of Emergency Admissions (ERMER)"[Int. J. Med. Inf. 103 (2017) 65-77]. - Mohsen Mesgarpour; Thierry J. Chaussalet; Salma Chahed (Int. J. Medical Informatics, 2017)

Discovering Business Processes in CRM Systems by Leveraging Unstructured Text Data. - Rolf B. Bänziger; Artie Basukoski; Thierry J. Chaussalet (HPCC/SmartCity/DSS, 2018)

Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. - Tahmina Zebin; Thierry J. Chaussalet (CIBCB, 2019)

A deep learning approach for length of stay prediction in clinical settings from medical records. - Tahmina Zebin; Shahadate Rezvy; Thierry J. Chaussalet (CIBCB, 2019)

Modelling The Home Health Care Nurse Scheduling Problem For Patients With Long-Term Conditions In The UK. - Fang He; Thierry J. Chaussalet; Rong Qu (ECMS, 2019)

Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A tool for comorbidity risk assessment. - Mohsen Mesgarpour; Thierry J. Chaussalet; Salma Chahed (Appl. Soft Comput., 2019)

A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit. - Mahmoud Aldraimli; Nodira Nazyrova; Abdumalik Djumanov; Ikboljon Sobirov; Thierry J. Chaussalet (BioInfoMed, 2020)

Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring - A Survival Analysis Approach. - Niyi Ogunbiyi; Artie Basukoski; Thierry J. Chaussalet (Algorithms, 2020)

A Conceptual Framework to Predict Mental Health Patients' Zoning Classification. - Sanjib Raj Pandey; Alan Smith; Edmund Nigel Gall; Ajay Bhatnagar; Thierry J. Chaussalet (ICIMTH, 2021)

Incorporating spatial context into remaining-time predictive process monitoring. - Niyi Ogunbiyi; Artie Basukoski; Thierry J. Chaussalet (SAC, 2021)

A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy. - Mahmoud Aldraimli; Daniele Soria; Diana Grishchuck; Samuel Ingram; Robert J. Lyon; Anil Mistry; Jorge Oliveira 004; Robert Samuel; Leila E. A. Shelley; Sarah Osman; Miriam V. Dwek; David Azria; et al. (Comput. Biol. Medicine, 2021)

Comparative analysis of clustering-based remaining-time predictive process monitoring approaches. - Niyi Ogunbiyi; Artie Basukoski; Thierry J. Chaussalet (Int. J. Bus. Process. Integr. Manag., 2021)

Investigating the Diffusion of Workload-Induced Stress - A Simulation Approach. - Niyi Ogunbiyi; Artie Basukoski; Thierry J. Chaussalet (Inf., 2021)

Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. - K. T. Dilna; J. Anitha 001; Anastassia Angelopoulou; Epaminondas Kapetanios; Thierry J. Chaussalet; D. Jude Hemanth (ICCS (3), 2022)

Machine Learning Models for Predicting 30-Day Readmission of Elderly Patients Using Custom Target Encoding Approach. - Nodira Nazyrova; Thierry J. Chaussalet; Salma Chahed (ICCS (3), 2022)

Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography Based Heart Rate Estimation. - K. Smera Premkumar; Anastassia Angelopoulou; Epaminondas Kapetanios; Thierry J. Chaussalet; D. Jude Hemanth (ICCS (3), 2022)

Care process optimization in a cardiovascular hospital: an integration of simulation-optimization and data mining. - Masoumeh Vali; Khodakaram Salimifard; Amir H. Gandomi; Thierry J. Chaussalet (Ann. Oper. Res., 2022)

Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence. - Masoumeh Vali; Khodakaram Salimifard; Amir H. Gandomi; Thierry J. Chaussalet (Comput. Ind. Eng., 2022)

Discovering Process Models from Patient Notes. - Rolf B. Bänziger; Artie Basukoski; Thierry J. Chaussalet (ICCS (3), 2023)

A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining. - Nichalini Kandasamy; Thierry J. Chaussalet; Artie Basukoski (ICIMTH, 2023)

Discovering Drug-Drug Interactions Using Association Rule Mining from Electronic Health Records. - Nodira Nazyrova; Salma Chahed; Miriam V. Dwek; Stephen J. Getting; Thierry J. Chaussalet (INISTA, 2023)

Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams. - Mustafa Hajmohammed; Panagiotis Chountas; Thierry J. Chaussalet (IS, 2024)

Fuzzy Fractional Brownian Motion: Review and Extension. - Georgy Urumov; Panagiotis Chountas; Thierry J. Chaussalet (Algorithms, 2024)

A Comparative Analysis of Clustering Methods for Identifying Patient Subgroups in Chronic Kidney Disease Using Feature Engineering. - Nichalini Kandasamy; Artie Basukoski; Thierry J. Chaussalet (CBMS, 2025)