2010
DOI: 10.1016/j.compbiomed.2009.11.010
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A novel indexing architecture for the provision of smart playback functions in collaborative telemedicine applications

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Cited by 2 publications
(2 citation statements)
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“…Here, a hash function is used to design a system which provides rapid health care facilities and data downloads. In [19], a three-level indexing hierarchy is used in collaborative telemedicine applications as a provision of smart playback functions with a novel indexing architecture. Self-learning indexing technique [20] is applied for supporting context aware health care applications in a probabilistic ontology-based platform.…”
Section: Map Reduce Optimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…Here, a hash function is used to design a system which provides rapid health care facilities and data downloads. In [19], a three-level indexing hierarchy is used in collaborative telemedicine applications as a provision of smart playback functions with a novel indexing architecture. Self-learning indexing technique [20] is applied for supporting context aware health care applications in a probabilistic ontology-based platform.…”
Section: Map Reduce Optimizationmentioning
confidence: 99%
“…Hsu et.al [16] Efficient query processing with reverse k-nearest neighbors(RKNN) algorithm using a K-tree indexing Diabetic health care system Ali et.al [17] Detecting lossy data in body sensor networks using a Merkle hash tree indexing Health care monitoring Thilakanat hanet.al [18] Rapidly downloading data for sharing information using a hash function indexing Health data sharing in Cloud Wang et.al [19] A novel indexing architecture is presented with a three-level indexing hierarchy Telemedicin e Ongenae et al [20] Probabilistic, self-learning, ontology based frame work Health care context aware applications Chu et.al [21] Scenario specific data retrieval using phrase-based indexing Medical text documentati on Huang et.al [22] Filtering based collaborative learning indexing Medical knowledge(s emantic) system Dieng Kuntz et.al [23] Translating amedical database in to RDF language Medical ontology…”
Section: Medical Image Databasesmentioning
confidence: 99%