Dynamic AI-Geo Health Application based on BIGIS-DSS  Approach

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 13, Issue 3

Abstract

 Public health organizations use GIS on a daily basis for input, storage, manipulation, and output of geographic information which provides a powerful tool for public health assessment and monitoring in remote  locations and developing countries [1]. Information technology is taking on a new level of importance due to its  business intelligence application solutions. Our proposal is aimed at integrating these two different worlds in a  single dynamic framework using web technology at health sector. Dynamic AI-Geohealth application based on  BIGIS_DSS approach uses GIS tools and techniques to convert geographic information and analysis of data that becomes valuable information to make more informed business decisions and rational. Thus, the approach is not just a technical or business analytical process; But discipline which includes both. This paper explores the  adopting Business Intelligence (BI) with Geographic Information System (GIS) to build a spatial artificial  intelligence and predictive analytical approach. Also this paper will explores case research for implementation of proposed approach in developing countries like Egypt at health sector as dynamic health map web application. The proposed approach helps in solving spatial problem which faces decision makers at health  sector.

Authors and Affiliations

Torky Sultan

Keywords

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  • EP ID EP146443
  • DOI -
  • Views 118
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How To Cite

Torky Sultan (2013).  Dynamic AI-Geo Health Application based on BIGIS-DSS  Approach. IOSR Journals (IOSR Journal of Computer Engineering), 13(3), 36-42. https://europub.co.uk/articles/-A-146443