Smart Health Prediction Using Machine Learning

The "Smart Health Prediction Using Machine Learning" system, based on predictive modelling, predicts the disease of patients/users on the basis of the symptoms that the user provides symptoms as an input to the system. This application has two logins one is admin and another is patient, patient can login in to the website and he can enter the symptoms, by using machine learning trained models patient can get the results of the patient disease. Here admin is responsible to provide login details to the patients and he can view the patient’s symptoms and diseases. Machine learning algorithms are Naive Bayes, Random Forest and XG Boost by using these techniques on brain stroke and Brest cancer datasets, will get the results of whether the patient have brain stroke symptoms or not and in Brest cancer we can find malignant or benign.

Keywords: Machine Learning algorithms, Malignant and benign, XG Boost, Random Forest, Naïve Bayes, Stroke