. Peelen, L., Klein, M., Schlobach, S., De Keizer, N., & Peek, N. Volume 4594. Analyzing differences in operational disease definitions using ontological modeling, pages 297–302. Springer/Verlag, 2007. doi abstract bibtex In medicine, there are many diseases which cannot be precisely characterized but are considered as natural kinds. In the communication between health care professionals, this is generally not problematic. In biomedical research, however, crisp definitions are required to unambiguously distinguish patients with and without the disease. In practice, this results in different operational definitions being in use for a single disease. This paper presents an approach to compare different operational definitions of a single disease using ontological modeling. The approach is illustrated with a case-study in the area of severe sepsis.
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title = "Analyzing differences in operational disease definitions using ontological modeling",
abstract = "In medicine, there are many diseases which cannot be precisely characterized but are considered as natural kinds. In the communication between health care professionals, this is generally not problematic. In biomedical research, however, crisp definitions are required to unambiguously distinguish patients with and without the disease. In practice, this results in different operational definitions being in use for a single disease. This paper presents an approach to compare different operational definitions of a single disease using ontological modeling. The approach is illustrated with a case-study in the area of severe sepsis.",
author = "Linda Peelen and Klein, {Michel C.A.} and Stefan Schlobach and {De Keizer}, {Nicolette F.} and Niels Peek",
year = "2007",
doi = "10.1007/978-3-540-73599-1_40",
isbn = "3540735984",
volume = "4594",
pages = "297--302",
booktitle = "Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings",
publisher = "Springer/Verlag",
}
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