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Information Fusion for Probabilistic Reasoning and Its Application to the Medical Decision Support Systems by Laganá, Antonio; Gavrilova, Marina L.; Kumar, Vipin; Mun, Youngsong; Tan, C. J. Kenneth; Gervasi, Osvaldo is a scholarly article available to read on EtoBox.

What is Information Fusion for Probabilistic Reasoning and Its Application to the Medical Decision Support Systems about?

The Natural Mission Of Computational Science Is To Tackle All Sorts Of Human Problems And To Work Out Intelligent Automata Aimed At Alleviating The B- Den Of Working Out Suitable Tools For Solving Complex Problems. For This Reason Computationalscience,thoughoriginatingfromtheneedtosolvethemostch- Lenging Problems In Science And Engineering (computational Science Is The Key Player In The ?ght To Gain Fundamental Advances In Astronomy, Biology, Che- Stry, Environmental Science, Physics And Several Other Scienti?c And Engineering Disciplines) Is Increasingly Turning Its Attention To All ?elds Of Human Activity. In All Activities, In Fact, Intensive Computation, Information Handling, Kn- Ledge Synthesis, The Use Of Ad-hoc Devices, Etc. Increasingly Need To Be Exploited And Coordinated Regardless Of The Location Of Both The Users And The (various And Heterogeneous) Computing Platforms. As A Result The Key To Understanding The Explosive Growth Of This Discipline Lies In Two Adjectives That More And More Appropriately Refer To Computational Science And Its Applications: Interoperable And Ubiquitous. Numerous Examples Of Ubiquitous And Interoperable Tools And Applicationsaregivenintheprese

Author

Laganá, Antonio; Gavrilova, Marina L.; Kumar, Vipin; Mun, Youngsong; Tan, C. J. Kenneth; Gervasi, Osvaldo

Publisher

Springer Berlin Heidelberg : Imprint: Springer

Published

2004

Language

EN

ISBN

9783540247678