Healthcare Monitoring System using Cloud and Machine Learning
T.Raghunathan1, N.Abimanyu2, N.Arun Kumar3, J.Jegadheesan4

1T.Raghunathan*, Sri Krishna College of Technology, Coimbatore Tamil Nadu, India
2N.Abimanyu, Sri Krishna College of Technology, Coimbatore Tamil Nadu, India.
3N. Arun Kumar , Sri Krishna College of Technology, Coimbatore Tamil Nadu, India.
4J. Jegadheesan, Sri Krishna College of Technology, Coimbatore Tamil Nadu, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 27, 2020. | Manuscript published on April 10, 2020. | PP: 549-552 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3473049620/2020©BEIESP | DOI: 10.35940/ijitee.F3473.049620
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Abstract: The prototype is a working model, incorporating sensors for measuring human parameters like body temperature, heart beat rate. A Raspberry pi microcontroller board is used to analyze the patient’s Temperature, heartbeat inputs. This project offers a system that will track the crucial parameters a patient’s condition to track continuously. If a patient experiences some critical situation, the unit also triggers an alarm in a patient’s close relative and to the doctor in various methodology. This is very useful for future analyzes and review of the health condition of patients. This project can be adapted for more flexible medical applications, by integrating dental sensors and announcement systems, As a very effective and devoted patient care network, it thus makes it useful in hospitals. The world is facing a widespread problem in recent years, which is increasing the number of elderly people. The home-care dilemma for the elderly is something that is very important. In this, Wireless section is becoming a major platform for many services & applications, Web page tracking is also used here, but also a controller. Paper introduces a standardized health monitoring framework as a step towards the progress that has been made in this department to date. .
Keywords: Cloud, Health Care, Patient Data
Scope of the Article: Machine Learning