INTELLIGENT SEMANTIC BASED FRAMEWORK FOR PERSONALIZED REHABILITATION TO CHILDREN WITH CEREBRAL PALSY

Abstract

Cerebral palsy (CP) is one of the most common developmental disorders. Technological development has allowed the transformation of the healthcare sector to provide more preventive services. This research proposes our intelligent decision support system” KineCP” that aims to assist a recommendation system based on Hybrid model and an intelligent system in which we proposed an ontology and we applied different SWRL rules to extract the inference and recommend solutions. These rules will be inferred for suggesting appropriate recommendations to the patient. The Framework could be used to help Children with Cerebral Palsy for personalized rehabilitation. The main idea is to help those children who attack CP to practice different home exercises under the supervision of parents.