DISEASE PREDICTION USING MACHINE LEARNING
Keywords:
Disease Prediction, Disease Prediction,, Machine Learning Algorithm, Supervised Learning, Diagnosis System, User InterfaceAbstract
This project is an attempt to help one to predict the disease he/she is having through the symptoms and the correct readings of the bodily vitals needed. There are times when people keep on ignoring health issues due to high medical fees. This may lead to severe issues later and even death. If not covered by insurance, medical bills can be a menace. This website is an approach in reducing the effort of a normal person by estimating the kind of disease one has and its severity. We have designed a disease prediction system using multiple machine learning algorithms. Based on the symptoms, age, and gender of an individual, the diagnosis system gives the output giving the information about whether the user is suffering from that particular disease or not. According to the severity, some diet plans and some exercises which can minimize the effects of the disease to some extent are also provided. It provides a simple yet effective approach for predicting the disease, if the provided values of vitals are accurate. The user will experience a simple yet effective User Interface and pleasing design.User Interface.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.










