Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26895
Title: An optimized intellectual agent based secure decision system for health care
Researcher: Murugesan, K
Guide(s): Manjula, D
Keywords: Decision System
Health Care
Intellectual Agent
Optimized
Secure
Upload Date: 17-Oct-2014
University: Anna University
Completed Date: n.d.
Abstract: We are stressing to develop machineries for the betterment of the newlinesystems as the information era has observed an incredible flareup of a drift newlinesimilar to a typhoon of modus operandi for agent based secure intelligent newlinedecision support systems newlineA novel architecture framework for AgentBased Secure Intelligent newlineDecision Systems is proposed in this thesis for devising building up and newlineimproving the quality of healthcare in many ways The areas these systems newlinecan be used in are diverse from the storage of medical records to the newlineexamination and evaluation of realtime data gathered from monitors These newlinesystems will help to doctors and nurses in the diagnosis and treatment of newlinepatient with all kinds of conditions This is also the basis for ascertaining the newlinesuitable AgentBased Intelligent Decision Support Systems not only for newlineHealth Care application and for any other domain areas newlineThe work starts with a survey of the current research into agent newlinebased intelligent decision support systems to support Clinical Management newlineand Research in order to first determine the current state of research in the newlinearea second to help derive the key features and problems with these systems newlinein the medical industry and thirdly to use these key features and problems to newlineexplain how the current research would effect the development of a secure newlineagentbased intelligent decision support system We hope that the proposed newlinesolution will asphalt a way for investigation track and toil well newlineThe proposed intelligent agent framework goal is to classify the newlineseverity of the heart attack and provide the diagnosis for the chest pain along newlinewith security measures to prevent misuse of precious patients private data by newlinethe unauthorized persons newlineSeventy Six symptoms of the patient have been taken initially as newlineinput and the symptoms are preprocessed using filter and wrapper based newlineagents for removing missing and irrelevant attributes newlineClassification is a data mining machine learning technique used to newlinepredict the group membership for data instances newline newline
Pagination: xviii,170p.
URI: http://hdl.handle.net/10603/26895
Appears in Departments:Faculty of Science and Humanities

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01_title.pdfAttached File251.7 kBAdobe PDFView/Open
02_certificate.pdf2.64 MBAdobe PDFView/Open
03_abstract.pdf65.58 kBAdobe PDFView/Open
04_acknowledgement.pdf61.97 kBAdobe PDFView/Open
05_contents.pdf95.71 kBAdobe PDFView/Open
06_chapter 1.pdf149.84 kBAdobe PDFView/Open
07_chapter 2.pdf125.06 kBAdobe PDFView/Open
08_chapter 3.pdf163.52 kBAdobe PDFView/Open
09_chapter 4.pdf868.54 kBAdobe PDFView/Open
10_chapter 5.pdf1.92 MBAdobe PDFView/Open
11_chapter 6.pdf481.89 kBAdobe PDFView/Open
12_chapter 7.pdf85.28 kBAdobe PDFView/Open
13_appendix.pdf1.99 MBAdobe PDFView/Open
14_references.pdf100.26 kBAdobe PDFView/Open
15_publications.pdf64.94 kBAdobe PDFView/Open
16_vitae.pdf57.71 kBAdobe PDFView/Open


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