• Pallakila Krishna tulasi
• Balemla Harika
• Nadilla Sindhu
• A Mahendar

Human disease prediction using Machine Learning is a system that predicts the disease based on the information or the symptoms provided by the user based on that accurate result shown. Currently, the health industry plays a major role in curing the illness of the patients, just in case he/she doesn’t want to travel to the hospital, therefore just by giving the symptoms and all other validated information the user can get to know the illness they are suffering from. Machine Learning algorithms such as Naive Bayes, Decision Tree, KNN and Random forest are used on the provided data set and predict the disease of the patient. The implementation is done through the Python Programming Language.

Machine Learning, Naive Bayes algorithm, KNN algorithm, Decision Tree algorithm, Random forest algorithm, Python.

"HUMAN DISEASE PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b424-b428, June-2021, Available :http://www.jetir.org/papers/JETIR2106195.pdf

"HUMAN DISEASE PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb424-b428, June-2021, Available at : http://www.jetir.org/papers/JETIR2106195.pdf