Diagnosis of chronic disease in a predictive model using machine learning algorithm

Abstract— Today, digitization in healthcare industry takes the
advantage on advancements in clinical healthcare services. The
extensive growth in data for monitoring and analyzing the patients
outcomes in predicting and diagnosis of chronic diseases lacks in
traditional methods and are replaced by technologies to gather the
most relevant insights from the medical data by using predictiveanalytics with very useful tool of machine learning. Theimportance of using machine learning algorithms in the model fordiagnosis, shows its ability in high classification accuracy rate inreduced computational time. In this paper, a study of variousmachine learning techniques are used in classification of chronicdiseases like heart, kidney diabetes and cancer from multipledataset by reducing the dimensionality using feature selection.Feature selection plays a significant role in machine learning