Abstract
The broad term “health care” refers to a system that focuses on improving
medical services to meet the needs of patients. Patients, doctors, vendors, health
companies, and IT companies all work to keep and restore health records in the
healthcare industry. It uses machine learning. Healthcare analysis addresses a variety of
diseases, including cancer, diabetes, stroke, and others. Both the labeled value and the
target value are known. Training the data for unsupervised learning is also involved.
Because the label value is either unknown or absent, it is impossible to evaluate the
model's performance in unsupervised learning. The chapter details different
unsupervised algorithms.