IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector
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IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector BalaAnand Muthu 1 & C. B. Sivaparthipan 2 & Gunasekaran Manogaran 3 & Revathi Sundarasekar 4 & Seifedine Kadry 5 & A. Shanthini 6 & Antony Dasel 7 Received: 12 July 2019 / Accepted: 24 September 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Humans with good health condition is some more difficult in today’s life, because of changing food habit and environment. So we need awareness about the health condition to the survival. The health-support systems faces significant challenges like lack of adequate medical information, preventable errors, data threat, misdiagnosis, and delayed transmission. To overcome this problem, here we proposed wearable sensor which is connected to Internet of things (IoT) based big data i.e. data mining analysis in healthcare. Moreover, here we design Generalize approximate Reasoning base Intelligence Control (GARIC) with regression rules to gather the information about the patient from the IoT. Finally, Train the data to the Artificial intelligence (AI) with the use of deep learning mechanism Boltzmann belief network. Subsequently Regularization _ Genome wide association study (GWAS) is used to predict the diseases. Thus, if the people has affected by some diseases they will get warning by SMS, emails. Etc., after that they got some treatments and advisory from the doctors. Keywords Artificial Intelligent (AI)Generalize approximate Reasoning base Intelligence Control (GARIC) . Internet of things (IoT) . Boltzmann belief network . Regularization _ genome wide association study . Sensor . Disease prediction scheme
1 Introduction A machine which performances the human intelligence process with the help of simulation is known as the AI [1]. The IoT is embedded with the AI system to monitor the health
conditions of the people based on the sensor outputs. The Primarily IoT are engross sensors, so the old embedded kind regarding devices yet [2] send information streams by using internet associates [3] to keep the analysed data. This value is busy in conformity with give a boost to the period on the user
* C. B. Sivaparthipan [email protected] BalaAnand Muthu [email protected]
Antony Dasel [email protected] 1
Department of Computer Science & Engineering, V.R.S. College of Engineering & Technology, Tamil Nadu, India
2
Department of Computer Science & Engineering, SNS College of Technology, Tamil Nadu, India
3
Department of Computer Science, University of California, Davis, CA, USA
4
Department of Computer Science, Anna University, Tamil Nadu, India
5
Beirut Arab University, Beirut, Lebanon
6
SRM University, Tamil Nadu, India
7
Vellore Institute of Technology, Tamil Nadu, India
Gunasekaran Manogaran [email protected] Revathi Sundarasekar [email protected] Seifedine Kadry [email protected] A. Shanthini [email protected]
Peer-to-Peer Netw. Appl.
[4]. IoT is the basic technology which interacts between t
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