Healthcare data analysis has come up as one of the few encouraging researchable domains. Pneumonia affects a
large number of world’s population. The aim of this briefing is to make a robust decision support system to predict the presence
of a disease using the techniques of Machine Learning. Machine Learning is used to analyze the patterns in the data, detect and
analyze trends and then make predictions with the help of ML techniques and it’s Algorithm. It gives us tools, techniques and
methods that can help in solving diagnostic problems in different medical domains e.g. prediction of disease progression,
extraction of medical knowledge for outcome research, therapy planning and support, and for the overall patient management.
It offers a principled approach for developing automatic and optimal algorithms for biomedical data
