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UCLA Previously Published Works Title Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology. Permalink https://escholarship.org/uc/item/27z3s4qxJournal Los
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Choose appropriate simulation software and model.
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Develop the simulation model based on the defined objectives and input parameters.
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Validate the simulation model by comparing the output results with real-world data or theoretical predictions.
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Conduct sensitivity analysis to assess the impact of changes in input parameters on the simulation results.
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Simulation methods and validation refer to the techniques used to create, execute, and verify simulations to ensure they accurately represent real-world processes or systems.
Entities involved in research, development, or regulatory compliance that utilize simulations in their processes may be required to file simulation methods and validation.
Filling out simulation methods and validation typically involves providing detailed documentation of the simulation techniques used, the validation process undertaken, and the results regarding their accuracy and reliability.
The purpose of simulation methods and validation is to ensure that simulations can be relied upon for accurate predictions and decision-making, thereby reducing the risks associated with real-world applications.
Information reported usually includes the objectives of the simulation, the methodologies applied, the validation results, and any discrepancies observed during the validation process.
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