Semantic IoT Interoperability and Data Analytics Using …
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Fig. 9 Patient-centric Symptoms: Preprocessed Bigrams
STORAGE
Knowledge
Information
Patient id
RFID Tag
IoT Devices
Doctor
Prescription
Semantic Engine
Medicine Information
View
Communication
Patient Monitoring
Patient Generated Healthcare
Electronic Health Record
Diagnosis
Doctor-Patient Information
Fig. 10 Semantic IoT Interoperability framework for patient diagnosis
the different domains. The ontologies help to inter-relate the patient’s symptoms
which become vital information for machine learning and automation systems.
5 Conclusion
In the present scenario, where different technologies like data mining, artificial intelligence, and machine learning are combined to work on machine processed applications, the semantic web importance comes into force. The semantic web emphasis
on the dissemination of meaningful information from the data stored in databases
and on the internet. The intelligent semantic analysis works on machine learning
259
Fig. 9 Patient-centric Symptoms: Preprocessed Bigrams
STORAGE
Knowledge
Information
Patient id
RFID Tag
IoT Devices
Doctor
Prescription
Semantic Engine
Medicine Information
View
Communication
Patient Monitoring
Patient Generated Healthcare
Electronic Health Record
Diagnosis
Doctor-Patient Information
Fig. 10 Semantic IoT Interoperability framework for patient diagnosis
the different domains. The ontologies help to inter-relate the patient’s symptoms
which become vital information for machine learning and automation systems.
5 Conclusion
In the present scenario, where different technologies like data mining, artificial intelligence, and machine learning are combined to work on machine processed applications, the semantic web importance comes into force. The semantic web emphasis
on the dissemination of meaningful information from the data stored in databases
and on the internet. The intelligent semantic analysis works on machine learning