An optimized intellectual agent based secure decision system for health care

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