Knowledge discovery from a more than a decade studies on healthcare Big Data systems: a scientometrics study

Abstract

IntroductionThe increasing development of information and communication technologies (ICT) has brought many achievements for human society and greatly influenced people's lives [1], and it has been adding significant benefits to various aspects of it [2]. 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 [3]. Fortunately, the cost of information processing is cheap today [4], while organizations are using information systems for optimizing processes in order to increase coordination and interoperability across the organizations [5], and helps them to increase the integration and standardization of processes [6].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 Abstract Annually, lots of research papers are published in scientific journals around the world. The knowledge of the status of research is a prerequisite for research planning and policy making. This type of knowledge could be gained through a scientometrics study on the published literature that analyzes research products in a scientific field. 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. It leads attracting attention from academia, industry and even governments around the world to "Big data in Healthcare". Therefore, this paper has done a meta-analysis on published researches methodology in this field in the period of 2008-2018. Statistical finding shows the "Meta-analysis and evidence" is the most used methodology in published papers. We applied data mining techniques for predicting using methodologies in the various databases to achieving knowledge discovery in the field. Naïve Bayes classifier in RapidMiner has been applied and results show eight main categories for words used in papers while "Developing methods to evaluate of care" averagely is the most intended using methodology for publishing papers and "Agentbased modeling" in nature is most using methodology and could be better predicted. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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