Designing knowledge representation framework for ICD-10

Knowledge Representation (KR) is the field related Artificial Intelligence which basically deals with the usage of formal symbols which are used to represent a collection of proposition believed by putative agents. In KR we deal with two types of representations Symbol and Concept level representations. ICD-10 is the 10th revision of the International Statistical Classification of Diseases and Health related problems. Its primary job is to code for diseases, symptoms, complaints and external causes of injury. It uses a 7-bit code to represent all diseases. The main focus of our research work is that we are going to represent the 7 bit code into a logical unit and logical entailments to form conceptual relations among them.