Search Results - "Chaussalet, Thierry J."

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort by Aldraimli, Mahmoud, Osman, Sarah, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E.A., Soria, Daniele, Dwek, Miriam V., Aguado-Barrera, Miguel E., Azria, David, Chang-Claude, Jenny, Dunning, Alison, Giraldo, Alexandra, Green, Sheryl, Gutiérrez-Enríquez, Sara, Herskind, Carsten, van Hulle, Hans, Lambrecht, Maarten, Lozza, Laura, Rancati, Tiziana, Reyes, Victoria, Rosenstein, Barry S., de Ruysscher, Dirk, de Santis, Maria C., Seibold, Petra, Sperk, Elena, Symonds, R. Paul, Stobart, Hilary, Taboada-Valadares, Begoña, Talbot, Christopher J., Vakaet, Vincent J.L., Vega, Ana, Veldeman, Liv, Veldwijk, Marlon R., Webb, Adam, Weltens, Caroline, West, Catharine M., Chaussalet, Thierry J., Rattay, Tim

“…Some patients with breast cancer treated by surgery and radiation therapy experience clinically significant toxicity, which may adversely affect cosmesis and…”
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Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence by Vali, Masoumeh, Salimifard, Khodakaram, Gandomi, Amir H., Chaussalet, Thierry J.

“…•Patient flow is modeled as a job-shop problem.•Minimizing carbon footprint is considered while waiting time is minimized.•A novel metaheuristic algorithm for…”
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Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining by Vali, Masoumeh, Salimifard, Khodakaram, Gandomi, Amir H., Chaussalet, Thierry J.

“…To provide health services, hospitals consume electrical power and contribute to the CO 2 emission. This paper aims to develop a modelling approach to optimize…”
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Measuring and modelling occupancy time in NHS continuing healthcare by Chahed, Salma, Demir, Eren, Chaussalet, Thierry J, Millard, Peter H, Toffa, Samuel

“…Due to increasing demand and financial constraints, NHS continuing healthcare systems seek to find better ways of forecasting demand and budgeting for care…”
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Towards a threshold climate for emergency lower respiratory hospital admissions by Islam, Muhammad Saiful, Chaussalet, Thierry J., Koizumi, Naoru

“…Identification of ‘cut-points’ or thresholds of climate factors would play a crucial role in alerting risks of climate change and providing guidance to…”
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A structured review of long-term care demand modelling by Worrall, Philip, Chaussalet, Thierry J.

“…Long-term care (LTC) represents a significant and substantial proportion of healthcare spends across the globe. Its main aim is to assist individuals suffering…”
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Capacity planning of a perinatal network with generalised loss network model with overflow by Asaduzzaman, Md, Chaussalet, Thierry J.

“…•We develop a generalised loss network for capacity planning of a perinatal network.•The model captures overflow and rejection from each hospital of the…”
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A loss network model with overflow for capacity planning of a neonatal unit by Asaduzzaman, Md, Chaussalet, Thierry J., Robertson, Nicola J.

“…The main aim of this paper is to derive a solution to the capacity problem faced by many perinatal networks in the United Kingdom. We propose a queueing model…”
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A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy by Aldraimli, Mahmoud, Soria, Daniele, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E.A., Osman, Sarah, Dwek, Miriam V., Azria, David, Chang-Claude, Jenny, Gutiérrez-Enríquez, Sara, De Santis, Maria Carmen, Rosenstein, Barry S., De Ruysscher, Dirk, Sperk, Elena, Symonds, R. Paul, Stobart, Hilary, Vega, Ana, Veldeman, Liv, Webb, Adam, Talbot, Christopher J., West, Catharine M., Rattay, Tim, Chaussalet, Thierry J.

“…The prediction by classification of side effects incidence in a given medical treatment is a common challenge in medical research. Machine Learning (ML)…”
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An overflow loss network model for capacity planning of a perinatal network by Asaduzzaman, Md, Chaussalet, Thierry J.

“…A model framework is developed to solve capacity planning problems that are faced by many perinatal networks in the UK. We propose a loss network model with…”
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Random effects models for operational patient pathways by Adeyemi, Shola, Chaussalet, Thierry J., Xie, Haifeng, Asaduzaman, Md

“…Patient flow modeling is a growing field of interest in health services research. Several techniques have been applied to model movement of patients within and…”
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Towards effective capacity planning in a perinatal network centre by Asaduzzaman, Md, Chaussalet, Thierry J, Adeyemi, Shola, Chahed, Salma, Hawdon, Jane, Wood, Daniel, Robertson, Nicola J

“…To study the arrival pattern and length of stay (LoS) in a neonatal intensive care/high dependency unit (NICU/HDU) and special care baby unit (SCBU) and the…”
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A Model-Based Approach to the Analysis of Patterns of Length of Stay in Institutional Long-Term Care by Haifeng Xie, Chaussalet, T.J., Millard, P.H.

“…Understanding the pattern of length of stay in institutional long-term care has important practical implications in the management of long-term care…”
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Emergency Readmission Criterion: A Technique for Determining the Emergency Readmission Time Window by Demir, E., Chaussalet, T.J., Haifeng Xie, Millard, P.H.

“…A frequently chosen time window in defining readmission is 28 days after discharge. Yet in the literature, shorter and longer periods such as 14 days or 90-180…”
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IMA Health 2007 by Baker, Rose D, Chaussalet, Thierry J, Utley, Martin

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Editorial: IMA Health 2007 by Baker, Rose D., Chaussalet, Thierry J., Utley, Martin

“…Issue Title: Special Issue on IMA Conference, April 2-4, 2007 - London; Guest Editors: Rose D. Baker, Thierry J. Chaussalet and Martin Utley…”
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Data requirements in a model of the natural history of Alzheimer's disease by Chaussalet, T J, Thompson, W A

“…The "natural history" of Alzheimer's disease (AD) is discussed in terms of the data required in a general, discrete-time, non-homogeneous Markov model. The…”
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Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams by Hajmohammed, Mustafa, Chountas, Panagiotis, Chaussalet, Thierry J.

“…Resampling data is an engineering technique that has an impact on instances where the underlying data distribution and proportions of instances and classes…”
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A Concept Drift Based Approach To Evaluating Model Performance And Theoretical Lifespan by Hajmohammed, Mustafa, Chountas, Panagiotis, Chaussalet, Thierry J.

“…Concept drift in data streams can be unpredictable and complex, and it can have a significant impact on predictive models. As the severity and complexity of…”
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Evaluating the costs of alternative options for dementia services by Chaussalet, T J, Millard, P H, el-Darzi, E

“…In the next decade the number of demented people is likely to increase. This has a financial impact on the resources allocated for health and social care…”
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