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Sensing, Modeling and Optimization of Cardiac Systems : A New Generation of Digital Twin for Heart Health Informatics
Yang, Hui; Yao, Bing - 2023
introduces recent research advances in machine learning, physics-based modeling, and simulation optimization to fully exploit … diagnostics and prognostics, and simulation optimization in medical decision making. It provides a comprehensive overview of … optimal decision making based on the integration of sensor-based learning and simulation optimization in the context of …
Persistent link: https://www.econbiz.de/10014331003
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Optimal cholesterol treatment plans and genetic testing strategies for cardiovascular diseases
Marrero, Wesley J.; Lavieri, Mariel S.; Sussman, Jeremy B. - In: Health care management science : a new journal serving … 24 (2021) 1, pp. 1-25
Persistent link: https://www.econbiz.de/10012544514
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Merck animal health uses operations research methods to transform biomanufacturing productivity for lifesaving medicines
Martagan, Tugce; Adan, Ivo; Baaijens, Marc; Dirckx, Coen; … - In: INFORMS journal on applied analytics 53 (2023) 1, pp. 85-95
Persistent link: https://www.econbiz.de/10014293869
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Technology selection : the impact of economic risk on decision making
King, Andrew S.; Elliott, Nicholas G.; James, Mark A.; … - In: Aquaculture economics & management : official journal … 22 (2018) 4, pp. 383-409
Persistent link: https://www.econbiz.de/10011997303
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IVF cycle cost estimation using Activity Based Costing and Monte Carlo simulation
Cassettari, Lucia; Mosca, Marco; Moscati, Roberto; … - In: Health care management science 19 (2016) 1, pp. 20-30
Persistent link: https://www.econbiz.de/10011458569
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Simulation-optimization via kriging and bootstrapping : a survey
Kleijnen, Jack P. C. - 2013 - Revision of CentER DP 2011-064
Persistent link: https://www.econbiz.de/10010228792
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Statistical Approach to Predict the Ischemic Heart Disease
Butt, Nadeem Shafique - 2011
Objectives: The objectives of this study were to see the degree of dependency of Ischemic Heart Disease (I.H.D) on different risk factors and to develop a model to predict the probabilities of I.H.D in various situations. Study Design: This was a retrospective study. Setting: The data was taken...
Persistent link: https://www.econbiz.de/10013125049
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Classic Kriging versus Kriging with bootstrapping or bonditional simulation : classic Kriging's robust confidence intervals and optimization
Mehdad, Ehsan; Kleijnen, Jack P. C. - 2014 - Revised version of CentER DP 2013-038
Persistent link: https://www.econbiz.de/10011285515
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Classic Kriging versus Kriging wiht bootstrapping of conditional simulation : classic Kriging's robust confidence intervals and optimization
Mehdad, Ehsan; Kleijnen, Jack P. C. - In: Journal of the Operational Research Society : OR 66 (2015) 11, pp. 1804-1814
Persistent link: https://www.econbiz.de/10011418448
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Robust simulation with likelihood-ratio constrained input uncertainty
Hu, Zhaolin; Hong, L. Jeff - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 4, pp. 2350-2367
Persistent link: https://www.econbiz.de/10013362754