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Temporal Abstraction of Medical Data: Deriving Periodicity

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Intelligent Data Analysis in Medicine and Pharmacology

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 414))

Abstract

Temporal abstraction, the derivation of abstractions from time-stamped data, is one of the central processes in medical knowledge-based systems. Important types of temporal abstractions include periodic occurrences, trends, and other temporal patterns. This chapter discusses the derivation of periodic abstractions at a theoretical, domain-independent level, and in the context of a specific temporal ontology.

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© 1997 Springer Science+Business Media New York

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Keravnou, E.T. (1997). Temporal Abstraction of Medical Data: Deriving Periodicity. In: Lavrač, N., Keravnou, E.T., Zupan, B. (eds) Intelligent Data Analysis in Medicine and Pharmacology. The Springer International Series in Engineering and Computer Science, vol 414. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6059-3_4

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  • DOI: https://doi.org/10.1007/978-1-4615-6059-3_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7775-7

  • Online ISBN: 978-1-4615-6059-3

  • eBook Packages: Springer Book Archive

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