So that in the middle of 2018, Google Scholar displays 17,000 results for searching вЂњBig Data in HealthcareвЂќ for the only year of 2018. Therefore, Big Data in healthcare has become an emerging and remarkable research field. By now, the electronic collection, organization, annotation, storage, and distribution of heterogeneous data are essential activities in the contemporary biomedical, clinical, and translational discovery processes. The importance of healthcare to individuals and governments and its growing costs to the economy have contributed to the emergence of healthcare as an important area of research for scholars in business and other disciplines. The healthcare industry historically has generated large amounts of data, driven by record keeping, compliance and regulatory requirements, and patient-care.

Improving the healthcare efficiency, accuracy, and quality of people is the main goal set forth by both the government and researchers. In another side, healthcare plays an important role in our societies. Nowadays, scientific, research and commercial literature about Big Data corroborate penetrating its capabilities in all areas. In the same vein, cutting-edge technologies such as Big Data have the potential to leverage the adoption of circular economy concepts by organizations and society, becoming more present in our daily lives. Fortunately, the cost of information processing is cheap today, while organizations are using information systems for optimizing processes in order to increase coordination and interoperability across the organizations, and helps them to increase the integration and standardization of processes. Captured and stored huge quantities of information about people, their daily interactions and even their biotic signs via a variety of digital devices, potentially processed and analyzed by academic researchers, corporations, and governments. The increasing development of information and communication technologies (ICT) has brought many achievements for human society and greatly influenced peopleвЂ™s lives, and it has been adding significant benefits to various aspects of it. NaГЇve Bayes classifier in RapidMiner has been applied and results show eight main categories for words used in papers while вЂњDeveloping methods to evaluate of careвЂќ averagely is the most intended using methodology for publishing papers and вЂњAgent-based modelingвЂќ in nature is most using methodology and could be better predicted. We applied data mining techniques for predicting using methodologies in the various databases to achieving knowledge discovery in the field.

Statistical finding shows the вЂњMeta-analysis and evidenceвЂќ is the most used methodology in published papers. Therefore, this paper has done a meta-analysis on published researches methodology in this field in the period of 2008вЂ“2018. It leads attracting attention from academia, industry and even governments around the world to вЂњBig data in HealthcareвЂќ. Always healthcare was a permanent concern of researchers and also rapidly expanding field of Big Data analytics has started to play a pivotal role in the evolution of healthcare practices and research. This type of knowledge could be gained through a scientometrics study on the published literature that analyzes research products in a scientific field. The knowledge of the status of research is a prerequisite for research planning and policy making. Annually, lots of research papers are published in scientific journals around the world.

Res in rapidminer studio