Analysis of Clustering Algorithms in Machine Learning for Healthcare Data

One of the most widely used data analysis methods in machine learning is the clustering algorithm, which is used to accurately assess the enormous amounts of healthcare data from electronic health records, hospitals, clinics, body sensor networks, and internet of things devices. By dividing up the data of comparable patients according to their pertinent characteristics, clustering algorithms are always essential in the prediction of diseases. Numerous clustering methods have been created thus far for the analysis of various healthcare data sets.