Research in Computing Science, Vol. 68, pp. 127-136, 2013.
Abstract: The realization of medical diagnoses is the result of decisions taken by doctors, which consists in identifying the signs, symptoms, risk factors and medical background to determine the clinical diagnosis for patients. This process can be performed improperly due to factors such as inaccurate interpretation of information. This paper presents a computational model of representation of medical knowledge to support decision-making task during a medical consultation in order to reduce the chance of misdiagnosis in general medicine. This representation is based on ontologies that provide a mechanism for structuring knowledge to become computer-understandable information, shared by information systems, formalized and using a common vocabulary. Our ontological model is able to infer a list of clinical diagnoses from the data of signs, symptoms, risk factors and medical background.
Keywords: Knowledge representation, clinical diagnosis, ontologies, medical decisions.
PDF: Ontology-based Knowledge Representation for Supporting Medical Decisions
PDF: Ontology-based Knowledge Representation for Supporting Medical Decisions