Exploring Cardiac Disease Based on ML in IOT: A Comprehensive Study
Every human being in today’s age has high importance in a stable human life. With daily new technology is launched in a world loaded with innovative business sectors to tackle more effectively the prevalent challenges of the world. We ought to figure out if as many people as possible can be spared. The death rate of multiple non-communicable heart disease forms is rising steadily each year. Many non-communicable disorders are long-term, gradual and too serious that a patient’s situation is too critical to control. This leads to a sudden heart attack for most people or learning about their condition before it is too late. In this document we suggest a cardiovascular state prediction approach for IoT and Machine Learning, which will use IoT system (sensors) to capture the data needed from the human body and move it to the cloud where data is saved with user verification. The obtained information from the human body is then normalized to quantify and forecast the total condition before AI calculations are applied to them.