ONLINE WEBINAR: Application of Big Data Analytics on Healthcare Domain
Previous Next

ONLINE WEBINAR: Application of Big Data Analytics on Healthcare Domain

Are you interested in Digital World? Do you like data and working with them? Would you like to know more about Big Data Analytics? Are you interested in application and practical use of data analysis in a specific sphere? Come and join us at this event!


WHEN? 08th March 2019 at 15:00 CET

WHERE? https://sites.google.com/vutbr.cz/chedteb-io2-webinars


About the topic:

Healthcare providers have moved (or currently moving) from paper-based information management to electronic health record (EHR) systems. In practice, effective digital health system is one of the main pillar of Saudi 2030 vision. Nowadays, data from large numbers of patients is being collected and stored in an electronic format, and these accumulated data should potentially enhance healthcare services.

In general, the wide adoption of EHR systems has enabled the availability of huge amounts of data in different types and formats (e.g. structured data, free text, image, video, audio, etc). This situation paved the way for data analytics techniques to find their ways in the health information management domain not just for improving patient care outcomes but also to improve the quality of care, reduce costs and improve patient population health.

The aim of this workshop is to provide an overview of how data analytics techniques can provide methods and processes for extracting and transforming raw medical data into meaningful insight, new discovery and knowledge that supports efficient and effective healthcare decisions.


Key speaker:

Prof. Sherif Sakr is the Head of Data Systems Group at the Institute of Computer Science, University of Tartu.

He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. He received his BSc and MSc degrees in Computer Science from the Information Systems department at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively.

Prof. Sakr's research interest is data and information management in general, particularly in big data processing systems, big data analytics, data science and big data management in cloud computing platforms. Prof. Sakr has published more than 100 refereed research publications in international journals and conferences such as: Proceedings of the VLDB endowment (PVLDB), IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), IEEE Transactions on Service Computing (IEEE TSC), IEEE Transactions on Big Data (IEEE TBD), ACM Computing Survey (ACM CSUR), Journal of Computer, Systems and Science (JCSS), Information Systems, Cluster Computing, Grid Computing, IEEE Communications Surveys and Tutorials (IEEE COMST), IEEE Software, Scientometrics, VLDB, SIGMOD, ICDE, EDBT, WWW, CIKM, ISWC, BPM, ER, ICWS, ICSOC, IEEE SCC, IEEE Cloud, TPCTC, DASFAA, ICPE and JCDL. One of his papers has awarded the Outstanding Paper Excellence Award 2009 of Emerald Literati Network. Prof. Sakr is a constant reviewer for IEEE TKDE, IEEE TSC, IEEE TBD, IEEE TCC, IEEE Software, ACM CSUR, ACM TWEB, ACM TAAS, DKE Elsevier, JSS Elsevier, WWW Springer, Distributed and Parallel Databases Springer and many other international conferences and journals.

He is an associate editor of the cluster computing journal and Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS). He is also an editorial board member of many reputable international journals. Prof. Sakr is an ACM Senior Member and an IEEE Senior Member. In 2017, he has been appointed to serve as an ACM Distinguished Speaker and as an IEEE Distinguished Speaker. Prof. Sakr is serving as the Editor-in-Chief of the Springer Encyclopedia of Big Data Technologies. For more information, please visit https://bigdata.cs.ut.ee/


Support:

If you have any questions, please, do not hesitate to ask at:

This email address is being protected from spambots. You need JavaScript enabled to view it.

About

This project shared by the three partner universities Bielefeld University of Applied Sciences/D, Brno University of Technology/CZ and University of Tartu/EST aims to provide the framework for a future joint master's degree on Digital Transformation of Corporate Business.

Search

We use cookies on our website. Some of them are essential for the operation of the site, while others help us to improve this site and the user experience (tracking cookies). You can decide for yourself whether you want to allow cookies or not. Please note that if you reject them, you may not be able to use all the functionalities of the site.