A graph-based data quality analysis in distributed telemedicine systems
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Use Case
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Abstract Telemedicine is one of the most rapidly developing areas of healthcare and it plays an increasing role in modern medicine. As the amount of data and demand for features increase, the data paths are becoming ever-more complex. Owing to this, it is vital in telemedicine to find a proper balance between consistency and availability under any given circumstances. However, making a trade-off can significantly influence the quality of the data. This study seeks to get an in-depth view of the problem by considering a real-world telemedicine use-case and elaborating the formal system specification of the scenario. After evaluating the specification, the constructed state graph is examined using graph coloring and other graph algorithms.
2006 ◽
Vol 23
(10)
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pp. 1340-1356
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2021 ◽
Vol 46
(4)
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pp. 423-436
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2020 ◽
pp. 63-67
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2015 ◽
Vol 9
(3)
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pp. 111
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2020 ◽
Vol 16
(6)
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pp. 860-865
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2021 ◽
Vol 9
(2_suppl)
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pp. 2325967121S0001
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