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Application of Big Data Analytics
Application of Big Data Analytics
on Healthcare Domain
on Healthcare Domain
ABOUT TOPIC
ABOUT 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
Key speaker: Prof. Sherif SAKR
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/
Jan LUHAN
Jan LUHAN
SUPPORT
Sherif SAKR
Sherif SAKR
KEY SPEAKER
Margareta TEODORESCU
Margareta TEODORESCU
SUPPORT
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Invitation-Webinar-190308.pdfINVITATION
INVITATION
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