IOT Based Health Preventive Management System for Patient information discovery Using Ontology

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K.Saranya, R.Ramya, M. Jamuna Rani, A.Yogeshwaran, S.S.Rajasekar, S.N.Sangeethaa

Abstract

Over the years, advancements in the work have been incorporated towards the patient’s relationship and data collection techniques to model a wide variety of human   activities and behaviors. Sensor data comes from smart devices that provide the ability to manipulate data from monitoring data for patient healthcare. Due to the high popularity and use of smart devices as respondents, performance recognition systems are more accurate and easier to use. The knowledge model is based on two new approaches: to consider a functional degree scheme between measuring sensor energy and functional consciousness to mode controversial sensor data and establish the relationship between them. In this article, we make a case why ontology        can contribute to blockchain design. To support this issue, this research proposes an ontology middleware that analysis and exploits ontology and some of its representations into the smart contracts that enable it to implement patient traceability restrictions on the original traceability feature platform.

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