IOT Based Disease Prediction and Diagnosis System for Healthcare Using Data Mining Techniques


Authors : Saranya.E, Maheswaran.T.

Volume/Issue : Volume 3 - 2018, Issue 10 - October

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/aTr4Wp

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

These Technology based on Home Automation System, Medical Health monitoring Systems, Communication Systems and Media etc., most of the patients those who are undergoing medical treatment in the hospital are non-ambulatory and it would be terrified for them if there is predictive monitoring system. IOT is the latest trends used for Healthcare Monitoring Systems. IOT device to share information using cloud computing. And to collect the patients details and analyzes data details with more accurately. This system to propose a cloud based approach for an automated Healthcare Monitoring System which uses sensors to measure various data of the patient like pressure, heartbeat, and temperature using wireless communications. Here, in this project ARDUINO acts as a bridge which communicates to the sensors placed in the patient’s body and also it gets the data of the sensors from that data which can be predicts what type of disease affected to the patient and sends the data through to the doctor, which will be help to taking decision for proceeding medical treatment quickly where they monitor health care parameters and access at anytime and anywhere they need. The patient’s details will be stored on the cloud using IOT.

Keywords : Iot,Wearable sensor, Arduino, GSM.

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