Health Analyser and Prognostic System using SVM Algorithm and IoT

Abstract

The main idea of our model of work includes sensors for calculating parameters such as body temperature, heart rate, oxygen level for paralyzed and coma affected patients by using respective sensors. An Arduino microcontroller system is used to study patient inputs such as Temperature, heartbeat and oxygen level sensors. The sensed data of patient’s health condition is transferred to the cloud storage via Node MCU then it is processed by Machine Learning (SVM algorithm) to predict the condition of patients. The tracked values are compared with the doctor prescribed level to check whether the patient health condition is normal/abnormal. Threshold range based monitoring will be a immediate response which will intimate the caretaker on time through mail.It is therefore crucial for research and evaluation of patient health status.By integrating notification system, this method can be tailored to more versatile medical applications, making it useful in hospitals as a very effective and dedicated tool for patientcare.