Development of a Knowledge-based Expert System for Diagnosis and Treatment of Common Diseases of the Spine
Abolfazl Ghazizadeh1*, Mehdi Dehghani1, Hamidreza Rokhsati1, Zohreh Fasihfar21B.S. Student in Computer Engineering, Faculty of Electrical and Computer Engineering, Hakim Sabzevari University 2Faculty member, Faculty of Electrical and Computer Engineering, Hakim Sabzevari University
Abstract: Diagnosis of the spine diseases is usually difficult and requires the knowledge and experience of expert physicians. On the other hand, there is no specific algorithm that definitively ensures the correct diagnosis of the disease. In the present paper, a knowledge-based expert system for diagnosis of common diseases of the spine and treatment recommendations based on movement therapy was proposed. Feasibility assessment of the system was done using Beckman method. Knowledge base, as the bottleneck in the expert system which has a great impact on an accurate diagnosis, was developed in a way to support development in the future and involve all symptoms and treatment, without any interfere in the inference engine. The inference engine of the system was implemented based on leading chain rules, and deductive and inductive inferences were used in its development. Proactivity, cost reduction, combinative knowledge, and increased accessibility are some of the advantages of the developed system.
Keywords: Diagnosis; Spine; Knowledge-based expert system Back to TOC