Abstract
Data mining is one of the most interesting and demanding areas in medical big-data analysis, which has recently become popular in the medical field. Data mining represents a new trend in health care that allows big data to be directly processed so that the data structure can be well defined. The main aim of this work was to enhance the current understanding of medical practices in terms of health informatics, with the help of real-world medical data collected from real people. The research in this paper was performed using big-data tools and methods from different sources. The conclusion of the paper recommends a framework for understanding how to gain knowledge and analyze big data from mined information.