Using Machine Learning for Chronic Disease Diagnosis and Prediction

Abstract

Machine learning had a strong effect on day-to-day life processes, and in the future, it's going to continue influencing this field. A key where machine learning illustrates promise in healthcare, especially in diagnosing and predicting chronic diseases, conditions that last for at least a year. This paper examines various methods through which machine learning is used in healthcare, consider how these models might be improved to perform specialized tasks, like detecting cancer from individual cells, as they are used to analyse medical images. The paper also explores the inner workings of machine learning and enlightens on some of its current limitations. The article addresses concerns such as model bias and the significant expenses associated with implementing machine learning solutions