6 Decision system for bone disease diagnosis using crisp rule set theory
Pallavi Vijay Chavan, Gaurav Narain Singh, Anushka Kamalja, Ashutosh Karwa · 2023
This chapter presents an intelligent system for bone disease diagnosis developed using a rule-based system. This system simulates a patient’s consultation with a doctor. The patient is presented with a questionnaire interrogating the symptoms, which are further used to analyze the bone disease. The objective of the work is to identify a suspected bone disease according to the user’s response regarding the symptoms and to impart them with relevant information that further helps in consultation with a doctor. This interactive system is designed in such a way that it doesn’t require any medical expertise to use it. The advantage of a decision system as an aid to reducing the complexity of bone disease diagnosis is understood and an expert system has been developed accordingly. The algorithm, the information sources used to develop the knowledge base, the number and kind of diseases under consideration, the source of the specimen, and the source of the diagnosis are mentioned in this chapter. The key features of the system include assessment of responses to diagnose a suspected disease, simulating a doctor’s consultation, presenting personalized questions based on previous responses, and providing self-help measures and home remedies.