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2020 – today
- 2024
[j26]Georgy Urumov
, Panagiotis Chountas, Thierry J. Chaussalet:
Fuzzy Fractional Brownian Motion: Review and Extension. Algorithms 17(7): 289 (2024)- [c35]Mustafa Hajmohammed, Panagiotis Chountas, Thierry J. Chaussalet:
Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams. IS 2024: 1-5 - 2023
- [c34]Rolf B. Bänziger, Artie Basukoski, Thierry J. Chaussalet:
Discovering Process Models from Patient Notes. ICCS (3) 2023: 243-249 - [c33]Nichalini Kandasamy, Thierry J. Chaussalet, Artie Basukoski:
A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining. ICIMTH 2023: 190-193 - [c32]Nodira Nazyrova, Salma Chahed, Miriam V. Dwek, Stephen J. Getting, Thierry J. Chaussalet:
Discovering Drug-Drug Interactions Using Association Rule Mining from Electronic Health Records. INISTA 2023: 1-7 - 2022
- [j25]Masoumeh Vali, Khodakaram Salimifard, Amir H. Gandomi, Thierry J. Chaussalet:
Care process optimization in a cardiovascular hospital: an integration of simulation-optimization and data mining. Ann. Oper. Res. 318(1): 685-712 (2022) - [j24]Masoumeh Vali, Khodakaram Salimifard, Amir H. Gandomi, Thierry J. Chaussalet:
Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence. Comput. Ind. Eng. 172(Part): 108603 (2022) - [c31]K. T. Dilna, J. Anitha, Anastassia Angelopoulou, Epaminondas Kapetanios, Thierry J. Chaussalet, D. Jude Hemanth:
Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. ICCS (3) 2022: 50-56 - [c30]Nodira Nazyrova, Thierry J. Chaussalet, Salma Chahed:
Machine Learning Models for Predicting 30-Day Readmission of Elderly Patients Using Custom Target Encoding Approach. ICCS (3) 2022: 122-136 - [c29]K. Smera Premkumar, Anastassia Angelopoulou, Epaminondas Kapetanios, Thierry J. Chaussalet, D. Jude Hemanth:
Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography Based Heart Rate Estimation. ICCS (3) 2022: 157-163 - 2021
- [j23]Mahmoud Aldraimli, Daniele Soria, Diana Grishchuck, Samuel Ingram, Robert J. Lyon, Anil Mistry, Jorge Oliveira, Robert Samuel, Leila E. A. Shelley, Sarah Osman, Miriam V. Dwek, David Azria, Jenny Chang-Claude, Sara Gutiérrez-Enríquez, Maria Carmen De Santis, Barry S. Rosenstein, Dirk De Ruysscher, Elena Sperk, R. Paul Symonds, Hilary Stobart, Ana Vega, Liv Veldeman, Adam Webb, Christopher J. Talbot, Catharine M. West, Tim Rattay, Thierry J. Chaussalet:
A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy. Comput. Biol. Medicine 135: 104624 (2021) - [j22]Niyi Ogunbiyi, Artie Basukoski, Thierry J. Chaussalet:
Comparative analysis of clustering-based remaining-time predictive process monitoring approaches. Int. J. Bus. Process. Integr. Manag. 10(3/4): 230-241 (2021) - [j21]Niyi Ogunbiyi, Artie Basukoski, Thierry J. Chaussalet:
Investigating the Diffusion of Workload-Induced Stress - A Simulation Approach. Inf. 12(1): 11 (2021) - [c28]Sanjib Raj Pandey, Alan Smith, Edmund Nigel Gall, Ajay Bhatnagar, Thierry J. Chaussalet:
A Conceptual Framework to Predict Mental Health Patients' Zoning Classification. ICIMTH 2021: 321-324 - [c27]Niyi Ogunbiyi, Artie Basukoski, Thierry J. Chaussalet:
Incorporating spatial context into remaining-time predictive process monitoring. SAC 2021: 535-542 - 2020
- [j20]Niyi Ogunbiyi, Artie Basukoski, Thierry J. Chaussalet:
Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring - A Survival Analysis Approach. Algorithms 13(11): 267 (2020) - [c26]Mahmoud Aldraimli, Nodira Nazyrova, Abdumalik Djumanov, Ikboljon Sobirov, Thierry J. Chaussalet:
A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit. BioInfoMed 2020: 16-31
2010 – 2019
- 2019
- [j19]Mohsen Mesgarpour, Thierry J. Chaussalet, Salma Chahed:
Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A tool for comorbidity risk assessment. Appl. Soft Comput. 79: 163-185 (2019) - [c25]Tahmina Zebin, Thierry J. Chaussalet:
Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. CIBCB 2019: 1-5 - [c24]Tahmina Zebin, Shahadate Rezvy, Thierry J. Chaussalet:
A deep learning approach for length of stay prediction in clinical settings from medical records. CIBCB 2019: 1-5 - [c23]Fang He, Thierry J. Chaussalet, Rong Qu:
Modelling The Home Health Care Nurse Scheduling Problem For Patients With Long-Term Conditions In The UK. ECMS 2019: 317-323 - 2018
- [c22]Rolf B. Bänziger, Artie Basukoski, Thierry J. Chaussalet:
Discovering Business Processes in CRM Systems by Leveraging Unstructured Text Data. HPCC/SmartCity/DSS 2018: 1571-1577 - 2017
- [j18]Mohsen Mesgarpour, Thierry J. Chaussalet, Salma Chahed:
Ensemble Risk Model of Emergency Admissions (ERMER). Int. J. Medical Informatics 103: 65-77 (2017) - [j17]Mohsen Mesgarpour, Thierry J. Chaussalet, Salma Chahed:
Corrigendum to "Ensemble Risk Model of Emergency Admissions (ERMER)"[Int. J. Med. Inf. 103 (2017) 65-77]. Int. J. Medical Informatics 108: 168 (2017) - 2016
- [c21]Mohsen Mesgarpour, Thierry J. Chaussalet, Philip Worrall, Salma Chahed:
Predictive Risk Modelling for Integrated Care: A Structured Review. CBMS 2016: 42-47 - [c20]Mohsen Mesgarpour, Thierry J. Chaussalet, Salma Chahed:
Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data. CBMS 2016: 219-224 - 2014
- [j16]Md. Asaduzzaman, Thierry J. Chaussalet:
Capacity planning of a perinatal network with generalised loss network model with overflow. Eur. J. Oper. Res. 232(1): 178-185 (2014) - [c19]Mohsen Mesgarpour, Thierry J. Chaussalet, Salma Chahed:
A Review of Dynamic Bayesian Network Techniques with Applications in Healthcare Risk Modelling. SCOR 2014: 89-100 - 2013
- [j15]Shola Adeyemi, Eren Demir, Thierry J. Chaussalet:
Towards an evidence-based decision making healthcare system management: Modelling patient pathways to improve clinical outcomes. Decis. Support Syst. 55(1): 117-125 (2013) - [j14]Anthony Virtue, Thierry J. Chaussalet, John Kelly:
Healthcare planning and its potential role increasing operational efficiency in the health sector: A viewpoint. J. Enterp. Inf. Manag. 26(1): 8-20 (2013) - [c18]Manisha Rathi, Thierry J. Chaussalet:
Risk prediction model using fuzzy regression method for predicting unplanned hospital admissions. SysCon 2013: 595-598 - 2012
- [j13]Eren Demir, Thierry J. Chaussalet, Shola Adeyemi, Sam Toffa:
Profiling hospitals based on emergency readmission: A multilevel transition modelling approach. Comput. Methods Programs Biomed. 108(2): 487-499 (2012) - [j12]Eren Demir, Salma Chahed, Thierry J. Chaussalet, Sam Toffa, Farid Fouladinajed:
A Decision Support Tool for Health Service Re-design. J. Medical Syst. 36(2): 621-630 (2012) - [c17]Philip Worrall, Thierry J. Chaussalet:
Forecasting long-term care demand with incomplete information: A grey modelling approach. CBMS 2012: 1-6 - 2011
- [j11]Shola Adeyemi, Thierry J. Chaussalet, Eren Demir:
Nonproportional random effects modelling of a neonatal unit operational patient pathways. Stat. Methods Appl. 20(4): 507-518 (2011) - [c16]Muhammad Saiful Islam, Thierry J. Chaussalet, Nazmiye Ozkan, Salma Chahed, Eren Demir, Christophe Sarran:
The impact of temperature disparity on emergency readmissions and patient flows. CBMS 2011: 1-6 - [c15]Sabina Redzanovic, Panagiotis Chountas, Thierry J. Chaussalet, Farid Fouladinejad, Mohamed Tadjer:
Data warehousing based architecture for the reporting of the NHS primary care prescribing. CBMS 2011: 1-6 - [c14]Philip Worrall, Thierry J. Chaussalet:
Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning. CBMS 2011: 1-7 - [c13]Anthony Virtue, John Kelly, Thierry J. Chaussalet:
Using simplified discrete-event simulation models for health care applications. WSC 2011: 1154-1165 - [i1]Md. Asaduzzaman, Thierry J. Chaussalet:
A Generalized Loss Network Model with Overflow for Capacity Planning of a Perinatal Network. CoRR abs/1110.6544 (2011) - 2010
- [j10]Md. Asaduzzaman, Thierry J. Chaussalet, Nicola J. Robertson:
A loss network model with overflow for capacity planning of a neonatal unit. Ann. Oper. Res. 178(1): 67-76 (2010) - [c12]Erich Teichmann, Eren Demir, Thierry J. Chaussalet:
Data preparation for clinical data mining to identify patients at risk of readmission. CBMS 2010: 184-189 - [c11]Muhammad Saiful Islam, Thierry J. Chaussalet, Nazmiye Ozkan, Eren Demir:
An approach to exploring the effect of weather variations on chronic disease incidence rate and potential changes in future health systems. CBMS 2010: 190-196
2000 – 2009
- 2009
- [c10]Eren Demir, Thierry J. Chaussalet:
A systematic approach in defining readmission. CBMS 2009: 1-7 - 2008
- [j9]Brijesh Patel, Thierry J. Chaussalet, Peter H. Millard:
Balancing the NHS balanced scorecard! Eur. J. Oper. Res. 185(3): 905-914 (2008) - [j8]Eren Demir, Thierry J. Chaussalet, Haifeng Xie, Peter H. Millard:
Emergency Readmission Criterion: A Technique for Determining the Emergency Readmission Time Window. IEEE Trans. Inf. Technol. Biomed. 12(5): 644-649 (2008) - [c9]Md. Asaduzzaman, Thierry J. Chaussalet:
Modelling and Performance Measure of a Perinatal Network Centre in the United Kingdom. CBMS 2008: 506-511 - [c8]Shola Adeyemi, Thierry J. Chaussalet:
A Random Effects Sensitivity Analysis for Patient Pathways Model. CBMS 2008: 536-538 - 2007
- [j7]Haifeng Xie, Thierry J. Chaussalet, Wayne A. Thompson, Peter H. Millard:
A simple graphical decision aid for the placement of elderly people in long-term care. J. Oper. Res. Soc. 58(4): 446-453 (2007) - [c7]Eren Demir, Thierry J. Chaussalet, Haifeng Xie:
Determining Readmission Time Window Using Mixture of Generalised Erlang Distribution. CBMS 2007: 21-26 - [c6]Haifeng Xie, Thierry J. Chaussalet, Mike Rees:
A Semi-open Queueing Network Approach to the Analysis of Patient Flow in Healthcare Systems. CBMS 2007: 719-724 - [c5]Shola Adeyemi, Thierry J. Chaussalet, Haifeng Xie, Peter H. Millard:
Patients Flow: A Mixed-Effects Modelling Approach to Predicting Discharge Probabilities. CBMS 2007: 725-730 - 2006
- [j6]Thierry J. Chaussalet, Lodewijk Bos:
The ICMCC second conference on "Medical and Care Compunetics". Int. J. Medical Informatics 75(9) (2006) - [j5]Haifeng Xie, Thierry J. Chaussalet, Sam Toffa, Peter Crowther:
A software tool to aid long-term care budget planning at local authority level. Int. J. Medical Informatics 75(9): 664-670 (2006) - [j4]Nicolae B. Szirbik, Christine Pelletier, Thierry J. Chaussalet:
Six methodological steps to build medical data warehouses for research. Int. J. Medical Informatics 75(9): 683-691 (2006) - [j3]Haifeng Xie, Thierry J. Chaussalet, Peter H. Millard:
A Model-Based Approach to the Analysis of Patterns of Length of Stay in Institutional Long-Term Care. IEEE Trans. Inf. Technol. Biomed. 10(3): 512-518 (2006) - [c4]Eren Demir, Thierry J. Chaussalet, Haifeng Xie, Peter H. Millard:
A Method for Determining an Emergency Readmission Time Window for Better Patient Management. CBMS 2006: 789-793 - [c3]Anthony Codrington-Virtue, Thierry J. Chaussalet, Peter H. Millard, Paul Whittlestone, John Kelly:
A System for Patient Management Based Discrete-Event Simulation and Hierarchical Clustering. CBMS 2006: 800-804 - 2005
- [j2]Christine Pelletier, Thierry J. Chaussalet, Haifeng Xie:
A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level. J. Oper. Res. Soc. 56(2): 144-152 (2005) - [c2]Haifeng Xie, Thierry J. Chaussalet, Peter H. Millard:
A Tool for Studying the Effects of Residents' Attributes on Patterns of Length of Stay in Long-Term Care. CBMS 2005: 473-478 - 2000
- [c1]Thierry J. Chaussalet, Haifeng Xie, Wayne A. Thompson, Peter H. Millard:
A discrete event simulation approach for evaluation screening policies for Alzheimer's disease. ESM 2000: 624-630
1990 – 1999
- 1996
- [j1]Patrick L. Combettes, Thierry J. Chaussalet:
Combining statistical information in set theoretic estimation. IEEE Signal Process. Lett. 3(3): 61-62 (1996)
Coauthor Index
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