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- W2483084990 abstract "Over the years with automation more and more systems deployed in multiple industries are generating huge amount of data. In fact IT Industry itself has witnessed phenomenal growth of data in the recent years. The data generated in the last 5 years is much more then the data generated cumulatively by all the industries put together in the past 20 years. In the current work we focus on the ways and means to handle the data generated by PHIS(Personal Healthcare Information System). The big question which we have addressed in this paper is selection of the appropriate tool (Relational MySQL database or NoSQL MongoDB database) to store the patient data, its archival and storage, steps to mine it and concluded the work by depicting the comparative analysis in terms of space and time." @default.
- W2483084990 created "2016-08-23" @default.
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- W2483084990 date "2016-01-01" @default.
- W2483084990 modified "2023-09-25" @default.
- W2483084990 title "Review of big data tools for healthcare system with case study on patient database storage methodology" @default.
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- W2483084990 doi "https://doi.org/10.1109/confluence.2016.7508208" @default.
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