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Artificial intelligence diagnostic

The goal of an artificial intelligence diagnostic system is to provide the available expert advice to the user, in a time that is probably faster than the human could deliver it. A number of... [Pg.56]

Myers, D. R., Hurley, C. E. and Davis, J. F. A diagnostic expert system for a sequential, PLC controlled operation, in Artificial Intelligence Applications in Process Engineering. (M. Mavrovoumolis, (ed.). Academic Press, New York, 1990. [Pg.101]

Greer B T, Khan J (2004). Diagnostic classification of cancer using DNA microarrays and artificial intelligence. Annals N. Y. Acad. Sci. 1020 49-66. [Pg.660]

Increased operator reliability achieved with advanced displays and diagnostics using artificial intelligence and expert systems. [Pg.326]

Mat-Isa N A, Mashor M Y, Othman N H (2007) An automated cervical pre-cancerous diagnostic system. Artificial Intelligence in Medicine 42 1—11... [Pg.45]

One of the earliest applications of techniques of artificial intelligence (a term used here in its broadest sense) in decisionmaking was the reduction of spectral data to their structural implications, information that is usually expressed in terms of substructures predicted to be present or absent in the unknown. The actual techniques used generally fall into one of three classes library search, pattern recognition, and knowledge-based systems. However, the boundaries between these classes are not sharp. Regardless of the technique selected, it is important that the spectral data should be diagnostic for the type of structural features the user needs to identify. [Pg.2790]


See other pages where Artificial intelligence diagnostic is mentioned: [Pg.193]    [Pg.81]    [Pg.238]    [Pg.551]    [Pg.212]    [Pg.1024]    [Pg.117]    [Pg.188]    [Pg.912]    [Pg.914]    [Pg.158]    [Pg.3]    [Pg.387]    [Pg.558]    [Pg.417]    [Pg.25]    [Pg.3632]    [Pg.40]    [Pg.96]    [Pg.69]   


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Artificial intelligence

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