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Exploring Hierarchical Medical Data stored as Multi-trees in a Relational Database

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Part of the book series: IFMBE Proceedings ((IFMBE,volume 59))

Abstract

Modern healthcare and medical research increasingly rely on large amounts of medical data stored in complex databases. In our previous work we have proposed a relational database design pattern and a graphical user interface for structuring hierarchical medical data, with the aim to enable researchers to design their own data structures while still benefiting from the advantages of a relational database. In this paper we will present a software tool designed to assist the user in querying hierarchical medical data, represented as custom designed multi-trees in a relational database.

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References

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Correspondence to P. Olah .

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Olah, P. et al. (2017). Exploring Hierarchical Medical Data stored as Multi-trees in a Relational Database. In: Vlad, S., Roman, N. (eds) International Conference on Advancements of Medicine and Health Care through Technology; 12th - 15th October 2016, Cluj-Napoca, Romania. IFMBE Proceedings, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-319-52875-5_47

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  • DOI: https://doi.org/10.1007/978-3-319-52875-5_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52874-8

  • Online ISBN: 978-3-319-52875-5

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