Abstract
Computers can be helpful to support physicians in medical diagnosis and health care personalization. Here, a health care ontology for the care of chronically ill patients that was created and validated in the k4care project is used in prospective and retrospective diagnoses, and also in the personalization of medical knowledge. This paper describes the technical aspects of these three ontology-based tasks and the successful experiences in their application to deal with wrong diagnoses, comorbidites, missing data, and prevention.
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Romero-Tris, C., Riaño, D., Real, F. (2011). Ontology-Based Retrospective and Prospective Diagnosis and Medical Knowledge Personalization. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds) Knowledge Representation for Health-Care. KR4HC 2010. Lecture Notes in Computer Science(), vol 6512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18050-7_1
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DOI: https://doi.org/10.1007/978-3-642-18050-7_1
Publisher Name: Springer, Berlin, Heidelberg
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