Dr. Evangelia N. Petraki

National and Kapodistrian University of Athens Athens, Greece



Title of the paper: Big Data Analytics in Healthcare: Tools, Challenges and Opportunities


Abstract: The term big data has been used in recent years to describe the enormous volume of data collected by various means and at a very rapid pace in all areas of human activity. Big data differs from traditional data sets and requires special management due to its volume, structure and type. For this reason, specialized technologies for their processing are being developed. The use of machine learning methods to take advantage of the big data collected in the health sector is imperative as it can significantly contribute to making predictions, preventing illnesses, improving patient healthcare, reducing costs and optimizing the use of available resources. This paper deals with Big Data, briefly presenting its characteristics, the sources of its creation, as well as the basic technologies used for its processing and utilization in the health sector. In the second part of this work, medical data on diabetes were used, and machine learning methods were applied using the Weka open-source software to evaluate and compare the results for the prediction of this specific disease. The paper concludes with useful concepts arising from the analysis, as well as challenges and suggestions for future research.

Bio: She received B.Sc. in Informatics from the Athens University of Economics and Business, her M.Sc. in Information Systems as well as her PhD from the Athens University of Economics and Business, Department of Informatics. Her PhD Thesis subject was «Conceptual data retrieval from FDB databases»

She has worked in the private sector in the analysis, design, and implementation of Information Systems and in public primary and secondary education as an ICT teacher. Participated in European Comenius and Erasmus+ projects. From 2016 to 2019 she taught independently at the Department of Economics of National and Kapodistrian University of Athens the courses "Databases and Data Management", "Computer Systems Organization and Function" and "Business Information Systems" in the implementation of the Act "Acquisition of Academic Teaching Experience for Young Scientists PhD holders”. Since April 2019 she is a member of Laboratory Teaching Staff of the Department of Economics.




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