Machine Learning and Big Data Implementation on Health Care data

Healthcare is the most prominent field suitable for the applications of machine learning and big data on health care data. The implementations of health care with big data and machine learning is increased with the client health requirements. The electronic health record applications are being increased in this current situation, which is needed to be focused on utilizing the data generated by those applications. There is a large volume of data in health care that is related to different health care domains especially neuro and cardiac. These data need a special focus and the architectures currently focusing on these domains has to implement the latest technologies to predict some patterns. In this article, the implementation of different health care architecture is focussed, which uses live data gathered from different sources over the globe. In this article, machine learning approaches and the big data framework are combined to design a prediction model and data handling techniques.