Abstract
The number of parameters leading to a defined medical cancer therapy is growing rapidly. A clinical decision support system intended for better managing the resulting complexity must be able to reason about the respective active ingredients and their interrelationships. In this paper, we present a corresponding ontology and illustrate its use for answering queries relevant for clinical therapy decisions.
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Notes
- 1.
All examples in this paper will focus on the treatment of breast cancer.
- 2.
In the OWL context, often the terms class and property are used instead of concept and role. In the following, we will often adopt this wording.
- 3.
For the representation of RDF triples we use the turtle syntax, cf. http://www.w3.org/TR/turtle.
References
Ashburner, M., Ball, C.A., Blake, J.A., Botstein, D., Butler, H., Cherry, J.M., Davis, A.P., Dolinski, K., Dwight, S.S., Eppig, J.T., Harris, M.A., Hill, D.P., Issel-Tarver, L., Kasarskis, A., Lewis, S., Matese, J.C., Richardson, J.E., Ringwald, M., Rubin, G.M., Sherlock, G.: Gene ontology: tool for the unification of biology. Nat. Genet. 25(1), 25–29 (2000)
Berger, D., Engelhardt, R., Mertelsmann, R.: Das Rote Buch. Eco-med Medizin (2010)
de Matos, P., Alcántara, R., Dekker, A., Ennis, M., Hastings, J., Haug, K., Spiteri, I., Turner, S., Steinbeck, C.: Chemical entities of biological interest: an update. Nucleic Acids Res. 38(Database–Issue), 249–254 (2010)
French Adjuvant Study Group. Benefit of a high-dose epirubicin regimen in adjuvant chemotherapy for node-positive breast cancer patients with poor prognostic factors: 5-year follow-up results of French Adjuvant Study Group 05 randomized trial. J. Clin. Oncol. 19(3), 602–611 (2001)
Lee, D., Cornet, R., Lau, F., De Keizer, N.: A survey of SNOMED CT implementations. J Biomed. Inf. 46(1), 87–96 (2013)
Lee, D., De Keizer, N., Lau, F., Cornet, R.: Literature review of SNOMED CT use. J. Am. Med. Inf. Assoc. 21, e11–e19 (2014)
Ménard, S., Tagliabue, E., Campiglio, M., Pupa, S.: Role of HER2 gene overexpression in breast carcinoma. J. Cell Physiol. 182(2), 150–162 (2000)
Rector, A.L., Nowlan, W.A., Glowinski, A.: Goals for concept representation in the GALEN project. In: Proceedings of the Annual Symposium on Computer Application in Medical Care, pp. 414–418 (1993)
Sioutos, N., de Coronado, S., Haber, M.W., Hartel, F.W., Shaiu, W.-L., Wright, L.W.: NCI Thesaurus: a semantic model integrating cancer-related clinical and molecular information. J. Biomed. Inf. 40(1), 30–43 (2007)
Sirin, E., Parsia, B., Grau, B.C., Kalyanpur, A., Katz, Y.: Pellet: a practical OWL-DL reasoner. J. Web Sem. 5(2), 51–53 (2007)
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Beierle, C., Eisele, L., Kern-Isberner, G., Meyer, R.G., Nietzke, M. (2016). Using Ontological Knowledge About Active Pharmaceutical Ingredients for a Decision Support System in Medical Cancer Therapy. In: Friedrich, G., Helmert, M., Wotawa, F. (eds) KI 2016: Advances in Artificial Intelligence. KI 2016. Lecture Notes in Computer Science(), vol 9904. Springer, Cham. https://doi.org/10.1007/978-3-319-46073-4_9
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