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Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Batzel, JJ; Bachar, M; Karemaker, JM; Kappel, F.
Merging Mathematical and Physiological Knowledge: Dimensions and Challenges
LECT NOTES MATH. 2013; 2064: 3-19.
Doi: 10.1007/978-3-642-32882-4_1
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- Leading authors Med Uni Graz
- Batzel Jerry
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- Abstract:
- This chapter introduces the main theoretical and practical topics which arise in the mathematical modeling of the human cardiovascular-respiratory system. These topics and ideas, developed in detail in the text, also represent a template for considering interdisciplinary research involving mathematical and life science disciplines in general. The chapter presents a multi-sided view of the modeling process which synthesizes the mathematical and life science viewpoints needed for developing and validating models of physiological systems. Particular emphasis is placed on the problem of coordinating model design and experimental design and methods for analyzing the model identification problem in the light of restricted data. In particular a variety of approaches based on information derived from parameter sensitivity are examined. The themes presented seek to provide a coordinated view of modeling that can aid in considering the current problem of patient-specific model adaptation in the clinical setting where data is in particular typically limited.