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

被引:0
|
作者
Saranya, K. [1 ]
Ramya, R. [2 ]
Rani, M. Jamuna [3 ]
Yogeshwaran, A. [4 ]
Rajasekar, S. S. [5 ]
Sangeethaa, S. N. [6 ]
机构
[1] Bannari Amman Inst Technol, Dept Comp Sci & Engn, Sathyamangalam, Tamil Nadu, India
[2] Dr NGP Inst Technol, Dept Informat Technol, Coimbatore, Tamil Nadu, India
[3] Sona Coll Technol, Dept Elect & Commun Engn, Salem, India
[4] Dhanalakshmi Srinivasan Engn Coll Autonomous, Dept Elect & Commun Engn, Perambalur 621212, Tamil Nadu, India
[5] Bannari Amman Inst Technol, Dept Comp Sci & Engn, Sathyamangalam, Tamil Nadu, India
[6] Bannari Amman Inst Technol, Dept Comp Sci & Engn, Sathyamangalam 638401, Tamil Nadu, India
关键词
Ontology; IoT; patient healthcare information; semantic integration; UTM; Information retrieval; INTERNET; CARE; THINGS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1898 / 1908
页数:11
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