A Comparative Study of Diseases Data with Various Classifiers for Diseases Prediction

  • Akhilesh Kumar Singh, Abhishek Raj, Nikhil Agarwal, Animesh Kumar Singh

Abstract

The greatest truth of our age is that we are living in the information age where trillion bytes of data are produced every day and we are using this data collectively to produce the result and to predict certain diseases. Machine Learning is used for multiple operations in the medical management industry, it performs an essential part in forecasting the disease. Numerous tests have to be performed on the patient to predict the disease but it can be reduced using machine learning. This helps in preserving time and it also enhances the execution. This research paper examines machine learning and its methods that are used to forecast a variety of diseases. This paper mainly focuses on forecasting cancer, cardiac infarction, etc. As a result of Machine learning, we can reduce the cost of health care in India.

Published
2020-06-06
How to Cite
Akhilesh Kumar Singh, Abhishek Raj, Nikhil Agarwal, Animesh Kumar Singh. (2020). A Comparative Study of Diseases Data with Various Classifiers for Diseases Prediction. International Journal of Advanced Science and Technology, 29(04), 7475 -. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/28158