Disease Diagnosis Django Framework using Machine Learning

In the past it was very challenging for the doctors and specialist to predict the disease without the help of any specialized tools manually. Today with the help of futuristic technologies like AI and Machine Learning, it’s now possible to make fast and accurate prediction of diseases without much effort. The proposed disease diagnosis framework is focused on training the Machine Learning (ML) models and integrating the serialized model with the user interface using django framework in python. The framework includes supervised machine learning using sklearn, Random Forest Algorithm, training of the ML model and serializing the trained ML model in order to integrate with the django framework. The model will be used to predict the binary classification of the disease using Random Forest Classifier and risk score using the Random Forest Regressor. We have identified the challenge of accurately and promptly diagnosing noncommunicable diseases, as well as addressing the issues of limited accessibility and affordability of healthcare services