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A hybrid agent‐based approach incorporating PK/PD modeling approaches was developed to explore the dynamics of tumor growth, infusion, and penetration of the bioreductive drug tirapazamine (TPZ).
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Some discussion of the potential applications of these now easily-accessible model products and modeling approaches is warranted.
These modeling approaches are classified into gross models and net models.
Qualitative and Hybrid modeling approaches are used to model the BRN for the dynamic analysis.
Two modeling approaches were used - fuzzy modeling (FM) and logistic regression (LR) - combined with a sequential forward feature selection process.
Previous modeling approaches are reviewed and their limitations identified.
Short comings of the modeling approaches are also highlighted.
Two modeling approaches were investigated the simulated weather crop index and the burn yield analysis approach.
As mentioned before, the combination of at least two modeling approaches is called hybrid.
The modeling approaches are explained, and their specific area of application is investigated.
Both modeling approaches were dealt with probabilistically and were able to produce probabilistic risk metrics.
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