This paper proposes an approach for automatically extracting symptoms associated to a given disease from semantic-based descriptions of health records of patients a®ected by an investigated pathology. The proposal implements non-standard reasoning services developed in Description Logics for the individuation of informative commonalities in concept collections and can make significantly easier the diagnosis process of rare and unknown diseases.
Informative common subsumers for diseases diagnosis / Colucci, Simona; Di Sciascio, Eugenio; Donini, Francesco Maria; Mastronardi, M.. - (2009), pp. 366-371. ( 9th International Conference on Knowledge Management and Knowledge Technologies, I-KNOW 2009 and 5th International Conference on Semantic Systems, I-SEMANTICS 2009 Graz, Austria September 2-4, 2009).
Informative common subsumers for diseases diagnosis
Colucci, Simona;Di Sciascio, Eugenio;Donini, Francesco Maria;
2009
Abstract
This paper proposes an approach for automatically extracting symptoms associated to a given disease from semantic-based descriptions of health records of patients a®ected by an investigated pathology. The proposal implements non-standard reasoning services developed in Description Logics for the individuation of informative commonalities in concept collections and can make significantly easier the diagnosis process of rare and unknown diseases.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
