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Title: Object oriented design and implementation of real time web-centric diabetes diagnosis telemedicine system
Researcher: Devamalar, P M Beulah
Guide(s): Srivatsa, S K
Upload Date: 31-May-2010
University: Bharath University
Completed Date: February 2009
Abstract: The primary health objective of any country is to ensure equal access to medical services to all its citizens irrespective of the location of their residences. A new alternative model of healthcare delivery is needed that can meet the needs of those that the public healthcare system is trying to reach. Internet telemedicine is a new research area that exploits recent advances in telecommunications networks. It provides the potential for highly flexible medical services. Medical services can now be delivered to any location. Diabetes is a damaging disease that makes six times likelihood of getting cardiac failure and the risk of kidney failure. Diabetes not only impacts lifestyle, it can also cause serious health complications. It is a major risk factor for heart disease, stroke, kidney failure, adult blindness and amputations. If diabetes is managed effectively, these complications can be eliminated. However, these patients need to be continuously monitored to enable the initiation of treatment within the crucial golden hour. The available conventional methods of monitoring mostly perform offline analysis and restrict the mobility of these patients to a hospital or a room. This research work takes care of such situations by the design of a Web centric diabetes diagnosis telemedicine system that helps the patients to regain their independence and return to an active work schedule, thereby improving their psychological well being. The vi objective of this thesis is to utilize the current information and communication technologies to meet the healthcare needs at any place, any time with much better qualitative levels and at lower costs. The research carried out consists of four parts. The first part is the design of the developmental process of real time Web-centric intelligent health care diagnosis system to support the diabetes diagnosis and particularly focuses on the development process of its corresponding Web applications.
Pagination: xviii, 141p.
Appears in Departments:Department of Computer Science and Engineering

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02_abstract.pdfAttached File68.65 kBAdobe PDFView/Open
03_acknowledgement.pdf66.82 kBAdobe PDFView/Open
04_bonafide certificate.pdf63.98 kBAdobe PDFView/Open
10_chapter 1.pdf96.78 kBAdobe PDFView/Open
11_chapter 2.pdf155.73 kBAdobe PDFView/Open
12_chapter 3.pdf160.42 kBAdobe PDFView/Open
13_chapter 4.pdf188.76 kBAdobe PDFView/Open
14_chapter 5.pdf110.19 kBAdobe PDFView/Open
15_chapter 6.pdf315.6 kBAdobe PDFView/Open
16_chapter 7.pdf1.15 MBAdobe PDFView/Open
05_contents.pdf85.93 kBAdobe PDFView/Open
06_list of abbreviations.pdf78.97 kBAdobe PDFView/Open
07_list of figures.pdf69.68 kBAdobe PDFView/Open
08_list of publications.pdf72.91 kBAdobe PDFView/Open
09_list of tables.pdf63.71 kBAdobe PDFView/Open
17_references.pdf100.97 kBAdobe PDFView/Open
01_title page.pdf21.37 kBAdobe PDFView/Open

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