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Conservation of Information (COI): Geospatial and Operational Developments in E-Health and Telemedicine for Virtual and Rural Communities
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Author(s): Max E. Stachura (Medical College of Georgia, USA), Elena V. Astapova (Medical College of Georgia, USA), Hui-Lien Tung (Paine College, USA), Donald A. Sofge (Naval Research Laboratory, USA), James Grayson (Augusta State University, USA), Margo Bergman (Michael E. DeBakey VA Medical Center, USA)and Joseph Wood (US Army, USA)
Copyright: 2012
Pages: 22
Source title:
Machine Learning: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-60960-818-7.ch501
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Abstract
The authors review telemedicine and e-health from an organizational perspective. To evaluate their effectiveness, they review organizational and system theory along with field and laboratory results. Theory of the conservation of information (COI) provides the means to study tradeoffs across space and over time as telemedicine and e-health management make operational decisions for virtual communities users. With the authors’ three case studies, they evaluate COI for telemedicine and e-health networks operating in the state of Georgia. After analyzing the case studies with COI, the authors close with a review of future trends that includes an interaction rate equation, an agent-based model (ABM) using natural selection (machine learning), and a Monte Carlo simulation of return on investments (ROI).
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