An Intelligent Semanticification Rules Enabled User-Specific Healthcare Framework Using IoT and Deep Learning Techniques
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作者:
Radhika, R.
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机构:
SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, Chennai, IndiaSRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, Chennai, India
Radhika, R.
[1
]
Bhuvaneswari, A.
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机构:
Vellore Institute of Technology, Tamil Nadu, Chennai, IndiaSRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, Chennai, India
Bhuvaneswari, A.
[2
]
Kalpana, G.
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机构:
Rajalakshmi Institute of Technology, Tamil Nadu, Chennai, IndiaSRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, Chennai, India
Kalpana, G.
[3
]
机构:
[1] SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, Chennai, India
[2] Vellore Institute of Technology, Tamil Nadu, Chennai, India
[3] Rajalakshmi Institute of Technology, Tamil Nadu, Chennai, India
来源:
Research Square
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2021年
关键词:
Deep learning - End-users - Healthcare systems - Message queuing telemetry transport - Ontology's - Physiological parameters - Semantification rule - Sensor priority - Sensor-based sematic ontology - Sesem framework;