In the Modern world, problem-solving is the foremost goal of almost every industry/professional. The importance of using machine learning (ML) for solving problems in healthcare can't be over-emphasized. The Goal is to help health practitioners with the prediction of a patient having Hepatitis B,this can be infused into any hospital’s existing system useful in areas with scarce health personnel and limited resources.
- LINK TO LIVE WEB APPLICATION
- LINK TO APP ON LINKEDIN
- PROJECT FEATURED ON OFFICIAL STREAMLIT WEEKLY DISCUSSION
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Signup & Login section - since the app is for healthcare decided to put some form of security.
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About Hepatitis B(Home section) - This part gives you detail about Hepatitis B, causes and risk, symptoms and link to learn more about Hepatitis B.
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Data viz and predictive analytics(Main section) - This part predicts the chances of survival of a patient having Hepatitis B using 3 Machine learning model KNN, Logistic Regression and Random Forest and give a prescription(Prescriptive Analytics).
* NUMPY
* MATPLOTLIB
* PANDAS
* SCIKIT-LEARN
* LIME
* SQLITE