Automatic Medical diagnosis and International Classification of Disease code ICD prediction Using Semantic Ontologies and Natural Language Processing

الملخص

Automatic Medical diagnosis has been the area of active research in healthcare industries. It provides patients and health Professional with International Classification of Disease code (ICD) in which diseases are classified to a wide variety of signs, symptoms, abnormal findings, complaints, social circumstances, and external causes of injury or disease, and the most challenge matter is how to find the right ICD disease code to the patients from reading and analyzing their  complaints ,In this paper we have developed  Automatic Medical diagnosis System for finding the most suitable ICD code for the patient disease by investment the technology of semantic web and natural language processing in manipulating and understating  the patient complaint and finding the ICD code for it , in this research we used mainly ICD ontology , Symptom ontology which contains the diseases and symptoms description for all diseases.