Agile Software Development

18Machine Learning in ASD: An Intensive Study of Automated Disease Prediction System

Saindhab Chattaraj¹, Taniya Chakraborty², Chandan Koner¹ and Subir Gupta¹*

¹Department of CSE, Dr. B. C. Roy Engineering College, Durgapur, West Bengal, India

²Department of Basic Science and Humanities, Dr. B. C. Roy Engineering College, Durgapur, West Bengal, India

Abstract

Of late, due to drastic climate change and excessive pollution, people live in such an atmosphere where they have to combat continuously several deadly diseases. To get the proper treatment of such diseases, people must rely on appropriate diagnoses. There are a lot of signs or symptoms that bear the existence of a particular condition. Generally, almost all the people who suffer from viral infections, dengue, and COVID-19 get a common sign of high fever. Therefore, it is challenging for doctors to determine the exact disease with this particular symptom. Accordingly, a technically equipped medical system should be developed to get a more error-free diagnosis. In this context, a case study uses the Random Forest Algorithm to combine diagnostic prediction and technology, which will help medical practitioners detect diseases. Agile Software can be used here. One of the essential advantages of agile methodology is speed to market and risk reduction. This paper showcases a module developed with the help of Machine Learning. Here, Agile Software is designed to become very effective in detecting a particular disease more efficiently. ...