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1992•Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology SocietyRequires access

An automatized topological method to test a priori global identifiability of a class of compartmental models

Maria Pia Saccomani, R. Sattier, L. D’Angiò, S. Audoly, Claudio Cobelli

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Abstract

The paper deals with a priori global identifiability of compartmental models of biological systems. We propose an automatized topological method to test a priori global identifiability of a class of linear compartmental models of relatively large order (n≤ 10). The class is defined by some structural constraints but is sufficiently general to warrant automation. A case study is presented.

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What this paper is about

The paper deals with a priori global identifiability of compartmental models of biological systems. We propose an automatized topological method to test a priori global identifiability of a class of linear compartmental models of relatively large order (n≤ 10). The class is defined by some structural constraints but is sufficiently general to warrant automation. A case study is presented.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper deals with a priori global identifiability of compartmental models of biological systems. We propose an automatized topological method to test a priori global identifiability of a class of linear compartmental models of relatively large order (n≤ 10). The class is defined by some structural constraints but is sufficiently general to warrant automation. A case study is presented.

Key concepts: Identifiability, A priori and a posteriori, Class (philosophy), Automation, Computer science, Mathematics, Applied mathematics, Mathematical optimization

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