Graduate Research and Discovery Symposium (GRADS)

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Studies pertaining to the averages of cardiovascular parameters of the general population and their change with respect to a single variable have been conducted widely, but information about how multiple variables affect these cardiovascular parameters is still limited. This study builds multi-variable predictive models of cardiovascular parameters with respect to age, height, weight, body surface area, body mass index, and exercise intensity. The results of this study could help clinicians make better diagnoses and be useful for researchers by providing reference values for tuning computational models and boundary conditions.