Intelligent System for Skin Disease Detection of Dogs with Ontology Based Clinical Information Extraction
Main objective
Main objective of this research is to identify the skin diseases and the severity level of each disease affected to dogs with maximum accuracy. Additionally, users will be able to get solutions for their conflicts, by directly engaging with the system. Service will be provided timely and accurate answers to the user, instead of consulting professional, while spending a lot of resourses. As the people worrying much when their pets are suffering from skin diseases, we are going to build a mobile application with better user experience based on deep learning, natural language processing and Ontology-based information extraction. Nowadays the majority are busy with their day-to-day activities, therefore this will be a good approach for those people to care for their dogs and treat them as quickly as possibleMain objective of this research is to identify the skin diseases and the severity level of each disease affected to dogs with maximum accuracy. Additionally, users will be able to get solutions for their conflicts, by directly engaging with the system. Service will be provided timely and accurate answers to the user, instead of consulting professional, while spending a lot of resourses. As the people worrying much when their pets are suffering from skin diseases, we are going to build a mobile application with better user experience based on deep learning, natural language processing and Ontology-based information extraction. Nowadays the majority are busy with their day-to-day activities, therefore this will be a good approach for those people to care for their dogs and treat them as quickly as possible
