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intelligent data repository

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Date Issued:
2004
Summary:
In this thesis, importance of Intelligent Data Repository (IDR) and its real life applications are studied. We proposed an IDR for oncology applications which can handle large datasets and which can be used on both the intranet and the Internet. It is designed to provide one or multiple medical institutions on a global scale a common platform for patient care and consultation. The proposed application consists of two key models, Body Surface Area model and Search model, which are described in detail and their results are discussed. We have implemented the proposed IDR for oncology application using ColdFusion MX. Existing research in this area have been studied and compared. Framework of the proposed IDR, structure, front-end user interface and back-end database schema of the proposed oncology application are explained in this thesis.
Title: An intelligent data repository.
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Name(s): Dave, Trupti.
Florida Atlantic University, Degree grantor
Pandya, Abhijit S., Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 2004
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 138 p.
Language(s): English
Summary: In this thesis, importance of Intelligent Data Repository (IDR) and its real life applications are studied. We proposed an IDR for oncology applications which can handle large datasets and which can be used on both the intranet and the Internet. It is designed to provide one or multiple medical institutions on a global scale a common platform for patient care and consultation. The proposed application consists of two key models, Body Surface Area model and Search model, which are described in detail and their results are discussed. We have implemented the proposed IDR for oncology application using ColdFusion MX. Existing research in this area have been studied and compared. Framework of the proposed IDR, structure, front-end user interface and back-end database schema of the proposed oncology application are explained in this thesis.
Identifier: 9780496084555 (isbn), 13187 (digitool), FADT13187 (IID), fau:10045 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.)--Florida Atlantic University, 2004.
Subject(s): Database design
Medicine--Computer network resources
Medical telematics
Medical informatics
ColdFusion
Oncology--Computer network resources
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/13187
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.