IoT Network for Diagnosis of Parkinson’s disease Using Neural Networks and OSTIS

Abstract

The aim of the work is to propose a model for the diagnosis of Parkinson’s disease (PD) within the framework of the Internet of Things (IoT) using OSTIS. The report is devoted to the development of the Internet of Things for the diagnosis of Parkinson’s disease (PD) using OSTIS technology. The structure of the ontology for describing the elements of PD disease is given. The construction of an IT diagnostic network of the PD is considered, which uses the semantic capabilities of the OSTIS platform for processing and analyzing medical data of the PD. The elements of the description of the knowledge base, solvers and user interfaces for PD using a componentbased approach are presented.