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Article
BCAS: A Web-enabled and GIS-based Decision Support System for the Diagnosis and Treatment of Breast Cancer
International Journal of Healthcare Technology and Management
  • Guisseppi A. Forgionne, University of Maryland - Baltimore County
  • Aryya Gangopadhyay, University of Maryland - Baltimore County
  • Monica Adya, Marquette University
  • Joseph K. Tan, University of British Columbia Faculty of Medicine
Document Type
Article
Language
eng
Format of Original
20 p.
Publication Date
1-1-2001
Publisher
Inderscience Enterprises LTD
Original Item ID
doi: 10.1504/IJHTM.2001.001120
Disciplines
Abstract

For decades, geographical variations in cancer rates have been observed but the precise determinants of such geographic differences in breast cancer development are unclear. Various statistical models have been proposed. Applications of these models, however, require that the data be assembled from a variety of sources, converted into the statistical models’ parameters and delivered effectively to researchers and policy makers. A web-enabled and GIS-based system can be developed to provide the needed functionality. This article overviews the conceptual web-enabled and GIS-based system (BCAS), illustrates the system’s use in diagnosing and treating breast cancer and examines the potential benefits and implications for breast cancer research and practice.

Comments

Published version. International Journal of Healthcare Technology and Management, Vol. 3, No. 5/6 (2001): 424-443. DOI. © Inderscience Enterprises LTD 2001. Used with permission.

Monica Adya was affiliated with the University of Maryland Baltimore County at the time of publication.

Citation Information
Guisseppi A. Forgionne, Aryya Gangopadhyay, Monica Adya and Joseph K. Tan. "BCAS: A Web-enabled and GIS-based Decision Support System for the Diagnosis and Treatment of Breast Cancer" International Journal of Healthcare Technology and Management (2001) ISSN: 1368-2156
Available at: http://works.bepress.com/monica_adya/23/