Proceedings ArticleDOI
Big data for better health planning
Jigna Patel,Priyanka Sharma +1 more
- pp 1-5
TLDR
The thought of data in healthcare and the results of various surveys to show the impact of big data are introduced and the tools and techniques comprising Hadoop, Storm, Spark and HPCC - big data solution offered to solve big data issues and challenges are presented.Abstract:
The exponential evolution of data in health care has brought a lot of challenges in terms of data transfer, storage, computation and analysis For healthcare usage and applications, ample patient information and historical data, which enclose rich and significant insights that can be exposed using advanced tools and techniques as well as latest machine learning algorithms Though, the size and rapidity of such great dimensional data requires new big data analytics framework This paper introduces the thought of data in healthcare and the results of various surveys to show the impact of big data Few case studies of big data analytics in healthcare is presented Last section is about the tools and techniques comprising Hadoop, Storm, Spark and HPCC - big data solution offered to solve big data issues and challengesread more
Citations
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Journal ArticleDOI
Big data analytics for healthcare industry: impact, applications, and tools
Sunil Kumar,Maninder Singh +1 more
TL;DR: The conceptual architecture of big data analytics for healthcare which involves the data gathering history of different branches, the genome database, electronic health records, text/imagery, and clinical decisions support system is explored.
Journal ArticleDOI
Analytics, challenges and applications in big data environment: a survey
Mininath R. Bendre,V. R. Thool +1 more
TL;DR: Big data refer to the massive amounts and varieties of information in the structured and unstructured form, generated by social networking sites, biomedical equipment, financial companies, internet...
Journal ArticleDOI
A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector
Susel Góngora Alonso,Isabel de la Torre Díez,Joel J. P. C. Rodrigues,Sofiane Hamrioui,Miguel López-Coronado +4 more
TL;DR: The sources and techniques of Big Data used in the health sector represent a relevant factor in terms of effectiveness, since it allows the application of predictive analysis techniques in tasks such as: identification of patients at risk of reentry or prevention of hospital or chronic diseases infections, obtaining predictive models of quality.
Journal ArticleDOI
Chronic Diseases and Health Monitoring Big Data: A Survey
TL;DR: This review investigates recent research efforts and conducts a comprehensive overview of the work on medical big data, especially as related to chronic diseases and health monitoring, and attempts to combine common big data technologies with special medical needs by analyzing in detail existing works of medicalbig data.
References
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Inside "Big Data management": ogres, onions, or parfaits?
TL;DR: The history of systems for managing "Big data" as well as today's activities and architectures are reviewed from the (perhaps biased) perspective of three "database guys" who have been watching this space for a number of years and are currently working together on "Big Data" problems.