E-Health System for Disease Prediction based on Machine Learning

The health reports of the persons including diagnostics information and medical prescriptions are provided in the form of test based case notes due to this the previous health conditions and the medicines used by the person are not known when he visits the hospital later. But storing all the health information of a person in the cloud as the soft copy reduces this problem. To achieve this each and every hospital, dispensary, labs must have an internet connection for registration of patient’s data, each patient will be identified by the unique Health Id and all the data of the patient will be stored in the cloud and the data can be accessed by only the particular patient. In order to prevent and treat illness, it is critical to perform an accurate and timely analysis on any health-related problem. The ability to diagnose disease by obtaining all information from a linked Health ID combined with Machine Learning techniques will improve the system's ability to detect diseases. We believe that our diagnostic model can operate like a doctor in the earlier diagnosis of this disease, allowing for timely treatment and the preservation of life.