Linda Mhadhbi
ABSTRACT
The diagnosis process is often challenging, it involves the correlation of various pieces of information followed by several possible conclusions and iterations of diseases that may overload physicians when facing urgent cases that may lead to bad consequences threatening people's lives. The physician is asked to search for all symptoms related to a specific disease. To make this kind of search possible, there is a strong need for an effective way to store and retrieve medical knowledge from various datasets in order to find links between human disease and symptoms. For this purpose, we propose in this work a new Disease-Symptom Ontology (DS-Ontology). Utilizing existing biomedical ontologies, we integrate all available disease-symptom relationships to create a DS-Ontology that will be used latter in an ontology-based Clinical Decision Support System to determine a highly effective medical diagnosis.
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Index Terms
- DS-Ontology: A Disease-Symptom Ontology for General Diagnosis Enhancement
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