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A Generalized Net Model of the Process of Obtaining and Diagnosing Convalescent Plasma from Patients with COVID-19

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Contemporary Methods in Bioinformatics and Biomedicine and Their Applications (BioInfoMed 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 374))

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Abstract

In the present study we propose a GN-model of the process of obtaining and diagnosing convalescent plasma from patients with COVID-19. The presented GN-model describes in details the different steps during the evaluation of the convalescent plasma, which will find expression in process optimization.

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Acknowledgements

The present research has been supported by the Bulgarian National Science Fund under Grant Ref. No. DN-02/10 “New Instruments for Knowledge Discovery from Data and Their Modelling”.

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Correspondence to Simeon Ribagin .

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Andreev, N., Ribagin, S., Atanassov, K. (2022). A Generalized Net Model of the Process of Obtaining and Diagnosing Convalescent Plasma from Patients with COVID-19. In: Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E., Staneva, G. (eds) Contemporary Methods in Bioinformatics and Biomedicine and Their Applications. BioInfoMed 2020. Lecture Notes in Networks and Systems, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-96638-6_14

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  • DOI: https://doi.org/10.1007/978-3-030-96638-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96637-9

  • Online ISBN: 978-3-030-96638-6

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