Abstract:
In present, Machine learning is one of the most used technique to predict various disease
in health sector. Not only in health sector, but also in every sector, predicting something
using machine learning has been a popular one. In Bangladesh, most people are unaware
of Kidney related problems. When they suffer from serious kidney problems, they start to
take treatment. But if they know about the features which are important to find kidney
related problems, then the total number of affected people will be decreased. We have
applied various feature selection method in our collected dataset to find the most suitable
attributes which are responsible for various kidney disease such as: CKD (Chronic Kidney
Disease), ESRD (end stage Renal Disease), UTI (Urinary Tract Infection). We have applied
11 machine learning model to predict the various kidney diseases. We have split our dataset
into train dataset and test dataset to predict the kidney disease. Highest performance was
achieved by Random Forest Classifier and Decision Tree Classifier. In future, we will
extend our dataset to find even more better performance and we will implement it using an
android application and web application.