Ill Health Condition Prediciton using IOT and Machine Learning

Keeping vigil on health parameters on a daily basis is a cumbersome task and it needs a lot of efforts and time. Even visiting the doctor on a daily basis is also needed more financial backups. Monitoring of the health parameters is carried by the many systems and gadgets like smart watches, Wearable devices and sensors. These devices and gadgets more oftenly stored these data over the fixed period of time as their primary memory are limited, so they have hardly any scope for prediction of health conditions. So to think behind this point, this paper uses Internet of things through which the data is collected about the patients from sensors at the server end. The Server is equipped with the finest machine learning algorithm like K means clustering and Artificial neural networks to predict the future health conditions of the patients or users. Proposed model uses some parameters like systolic blood pressure, diastolic blood pressure, body temperature, blood sugar level and pulse rate.