Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/479912
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dc.coverage.spatialEfficient indexing and retrieval of patient information using mapreduce framework and optimisation technique
dc.date.accessioned2023-04-27T17:38:12Z-
dc.date.available2023-04-27T17:38:12Z-
dc.identifier.urihttp://hdl.handle.net/10603/479912-
dc.description.abstractHealth is a most important topic in our daily life for human begins due to absence of comfort checking, considerate involvements genuine medical issues. Moreover, Internet of Thing (IoT) is a cutting-edge invention valuable for clinical wellbeing sector in several ways. In addition, huge and composite data becomes important source in biomedical detection, which is extremely simplified to enhance scientific resources to retrieve helpful information. However, indexing and retrieving patient details from dissimilar source of big data is more challenging concept in biomedical research. This research is developed with main three contributions for health monitoring, medical data retrieval process and DeepRank newline
dc.format.extentXiii,120p
dc.languageEnglish
dc.relationp.108-119
dc.rightsuniversity
dc.titleEfficient indexing and retrieval of patient information using mapreduce framework and optimisation technique
dc.title.alternative
dc.creator.researcherGladiss merlin N R
dc.subject.keywordindexing and retrieval
dc.subject.keywordpatient
dc.subject.keywordmap reduce
dc.description.note
dc.contributor.guideVigilsonprem M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.84 kBAdobe PDFView/Open
02_prelim pages.pdf2.13 MBAdobe PDFView/Open
03_content.pdf115.41 kBAdobe PDFView/Open
04_abstract.pdf62.45 kBAdobe PDFView/Open
05_chapter1.pdf195.67 kBAdobe PDFView/Open
06_chapter2.pdf185.51 kBAdobe PDFView/Open
07_chapter3.pdf206.35 kBAdobe PDFView/Open
08_chapter4.pdf265.05 kBAdobe PDFView/Open
09_chapter5.pdf378.88 kBAdobe PDFView/Open
10_chapter6.pdf309.47 kBAdobe PDFView/Open
11_chapter7.pdf145.04 kBAdobe PDFView/Open
12_annexure.pdf124.82 kBAdobe PDFView/Open
80_recommendation.pdf73.91 kBAdobe PDFView/Open


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