MERCURY: a hybrid reasoning system for forecasting heat-related mortality

Author

Whitfield, Tarina A. ; Rountree, Barry L. ; Barnes, Chris W. ; Parrish, Gib ; Hruska, Susan I.

Author_Institution

Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA

Volume

3

fYear

1997

fDate

12-15 Oct 1997

Firstpage

2567

Abstract

Many factors influence the effective forecasting of deaths attributed to excessive heat. Unusual increases in the number of deaths during these “heat waves” are typically most prevalent in large urban areas. Strategies for extraction of and reasoning with knowledge about the weather as well as economic, demographic, and housing factors can be used in the analysis of mortality from heat waves. The present paper focuses on the development of a hybrid intelligent reasoning system to aid public health officials and weather forecasters in the prediction, prevention, and mitigation of the adverse effects of heat waves on localized urban populations

Keywords

inference mechanisms; knowledge acquisition; knowledge based systems; public administration; MERCURY; climate effect; demographic factors; economic factors; forecasting; heat waves; heat-related mortality; housing factor; hybrid reasoning system; knowledge extraction; public health; rule based system; urban populations; Computer science; Demography; Diseases; Economic forecasting; Hybrid intelligent systems; Laboratories; Ocean temperature; Tornadoes; Urban areas; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.635321

Filename

635321