Human Disease Prediction Using Machine Learning Classification Algorithms

The importance of healthcare system is growing and the pandemic has proved that the healthcare management is an important part of an individual's life. Most medical cases requires proper diagnoses in a prior consultation, and it is very important to get an accurate prediction of the disease. In this paper, we have taken some most common and very serious human diseases as an input in our dataset, after preprocessing, data cleaning, and using different machine learning classification algorithms such as Random Forest, Naïve Bayes, Ada Boost, Bagging Stacking, we found that the Machine learning classification algorithms can be a better option for the early prediction with more accuracy for the human diseases.