Agent-Based Modeling of Physical Activity Impact on Health Benefit and Risk
Zaiyong Tang, Fuping Zhu

We propose using agent-based modeling to study the impact of physical activity on health benefit and risk. Previous researches have focused on aggregated analysis at the population or group level, making recommendations that are useful, but may not be appropriate for individuals with substantially different health/risk profiles. The proposed model explores individualized recommendations of physical activity levels for risk adjusted health benefits while also allows population level analysis ofsocietal health benefits and system dynamics.

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