Book
Interpretation of Imprecision in Medical Data.
| Title: | Interpretation of Imprecision in Medical Data. |
|---|---|
| Authors: | Kwiatkowska, Mila, Riben, Peter, Kielan, Krzysztof |
| Source: | Advances in Data Management; 2009, p351-369, 19p |
| Abstract: | Imprecision is an intrinsic part of all data types and even more so of medical data. In this paper, we revisit the definition of imprecision as well as closely related concepts of incompleteness, uncertainty, inaccuracy, and, in general, imperfection of data. We examine the traditional hierarchical approach to data, information, and knowledge in the context of medical data, which is characterized by heterogeneity, variable granularity and time-dependency. We observe that (1) imprecision has syntactic, semantic, and pragmatic aspects and (2) imprecision has its spectrum from most precise to most imprecise and unknown. We argue that interpretation of imprecision is highly contextual, and, furthermore, that medical data cannot be decoupled from their meanings and their intended usage. To address the contextual interpretation of imprecision, we present a framework for knowledge-based modeling of medical data, which comprises a semiotic approach, a fuzzy-logic approach, and a multidimensional approach. [ABSTRACT FROM AUTHOR] |
| Copyright of Advances in Data Management is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| DOI: | 10.1007/978-3-642-02190-9_17 |
| Database: | Complementary Index |
Availability