Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/479912
Title: Efficient indexing and retrieval of patient information using mapreduce framework and optimisation technique
Researcher: Gladiss merlin N R
Guide(s): Vigilsonprem M
Keywords: indexing and retrieval
patient
map reduce
University: Anna University
Completed Date: 2022
Abstract: Health 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
Pagination: Xiii,120p
URI: http://hdl.handle.net/10603/479912
Appears in Departments:Faculty of Information and Communication Engineering

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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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