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2. PHD Thesis / Tesis PHD
3. Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

Title:	A Wrapper Self-Management Viable System Framework For Information Extraction In Health Care
Authors:	Sameer Qasim Ameen (P34977)
Supervisor:	Khairuddin Bin Omar, Prof. Dr.
Keywords:	Wrapper Self-Management Viable System Framework Information Extraction In Health Care Wrapper Self-Management Viable System Framework For Information Extraction In Health Care Natural language processing (Computer science)
Issue Date:	3-Oct-2013
Description:	This study presents a novel infrastructure of an information extraction system underpinned by two existing models, namely; Distributed Object Oriented Programming and Viable System Model (VSM). Autonomic systems infrastructure has been used successfully in many global computing systems like grid and cloud. Such models for computing environments are required to exhibit self-managing capabilities to reduce cost and complexities and to improve dependability. This research aims to investigate interaction scenarios which enable humans and machines to collaboratively solve problems, applying the interaction results into an autonomic system infrastructure in medical domains by using wrappers and Meta knowledge to control the process of information extraction from patients' records. The main approach in this research for solving the problem of information extraction is, using wrapper approach which relies on semi-structured documents. This research also presents the generic requirements for tools, services and frameworks to facilitate the design and development of self-managed systems dealing with the problem of information extraction with the help of wrappers. This study used consistent query as an approach for interaction between the users to provide a collaborative architecture to extract medical care information data for users to share their experience and knowledge. The methodology of this research consists of two main parts, namely; Wrapper Retrieval and Wrapper Generator. Wrapper Retrieval consists of a user interface and a Wrapper Key Retrieval to recognize the users' needs, search and present a suitable wrapper to the user from the pool of wrappers. In case that none of the wrappers in the pool meets the user's needs, the Wrapper Generator starts functioning by creating a new wrapper which suites the user's inquiries. An autonomic infrastructure system is used to build an information extraction system with the help of wrapper automation for health information where the output from the system is a text document (report) extracted from patients' medical records using automatic extracting wrappers. To implements this methodology, a working system was build, tested and installed in two hospitals for test running. A monitoring model has been designed in this research to provide the situated autonomic computing with feedback and context information from their environment. The implication of this approach represent a significant step forward and may serve as a road sign indicating that this path is an efficient yet easy to implement and control. In support of the monitoring and awareness services, the researcher also conducted a survey questionnaire to collect responses from the users about the performance of the system. The findings which were evaluated using quantitative and qualitative method indicate maximum users' satisfaction.,PhD
Pages:	239
Call Number:	QA76.9.N38 .A5877 2013 3
Publisher:	UKM, Bangi
Appears in Collections:	Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

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