Abstract
When new technologies are created for the welfare of the humans, it also brings many challenges, particularly when it applied to healthcare. Machine learning is one of such new technology which is implemented to solve many of the problems in healthcare. Machine learning techniques have a huge impact on today’s day-today activities. Most of the applications are going to be automated using such techniques. Also, we are living in an era of providing better healthcare services to the human using technologies. In this chapter, we performed a study on role of machine learning techniques in healthcare applications and built prediction system for some of the critical diseases like sickle cell anemia, breast cancer, and heart diseases. We have analyzed some of the biomedical data with existing machine learning algorithms and identified some possible directions to the research community.
