Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/527801
Title: A secure health care management and service retrieval for society over apache spark hadoop environment
Researcher: Vimala Ithayan, J
Guide(s): Sundar, C and Babu
Keywords: Big Data
Engineering
Engineering and Technology
Engineering Electrical and Electronic
Hadoop
Health care management
University: Anna University
Completed Date: 2022
Abstract: The term Big Data is a key technology that describes the sheer volume newlineof data. These are highly underutilized by healthcare organizations. In most newlinecommon, the wealth of customer information can be used by healthcare sectors to newlineconstruct and stand-in customer and patient relationships with the aim of newlineoptimizing marketing, clinical, and business outcomes. Big Data technologies newlinehave been widely used for many successful applications in health sciences newlineespecially, in biomedicine. E.g. the data from social networks and search engines newlinecan help to collect people s reactions and monitor the conditions of epidemic newlinediseases. For efficient data management and analysis, a huge volume of health newlinedata is transmitted to third parties for data analysis and mining. In such cases, it is newlinedifficult to directly analyse the large volume of raw health data. Various big data newlinehealthcare applications including the recommendation systems in healthcare, newlineInternet-based epidemic surveillance, sensor-based health conditions, food safety newlinemonitoring, etc. Predictive analytics has been widely utilized to minimize the degree of newlineuncertainty like preventable readmissions and enables domain experts to finalize newlinebetter decisions. Furthermore, it supports preventive care and it allows healthcare newlineorganizations to estimate their current service situations to assist them to newlineunderstand the complex structure of the clinical data. Typically, the amount of health data increases by their size, computational complexity, and speed. A traditional healthcare system often requires the delivery of medical data to the large storage system, which is newlinecomprised of patient s sensitive information and causes communication overhead. newlineBasically, medical sharing is a serious threat and also a challenging issue. For newlinethese reasons, a range of big data analytical approaches such as Machine Learning newlineand Text Mining are often required for organizing huge amounts of data. This newlineresearch, focus on two big data analytics strategies: Data Retrieval and Data newline Management over Hadoop Distributed File System (HDFS). newline newline
Pagination: xvii,112p.
URI: http://hdl.handle.net/10603/527801
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File24.54 kBAdobe PDFView/Open
02_prelim pages.pdf2.25 MBAdobe PDFView/Open
03_content.pdf86.72 kBAdobe PDFView/Open
04_abstract.pdf78.64 kBAdobe PDFView/Open
05_chapter 1.pdf478.64 kBAdobe PDFView/Open
06_chapter 2.pdf376.21 kBAdobe PDFView/Open
07_chapter 3.pdf256.76 kBAdobe PDFView/Open
08_chapter 4.pdf641.64 kBAdobe PDFView/Open
09_chapter 5.pdf403.5 kBAdobe PDFView/Open
10_annexures.pdf113.55 kBAdobe PDFView/Open
80_recommendation.pdf77 kBAdobe PDFView/Open
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