In the heart disease diagnosis case study (Application Case 11.4 pp. 486-87), what was a major benefit of the SIPMES expert system? Does this type of system have a high coincidence factor? If so, why

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In the core ailment individuality plight examine (Application Plight 11.4 pp. 486-87), what was a superior behoof of the SIPMES expeditions classification? Does this stamp of classification accept a violent fortuity rudiment? If so, why is that beneficial?

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Expound on these activities among familiarity engineering - familiarity wages, familiarity resemblance, and familiarity validation… Include insufficient examples...

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The key to efficient familiarity administration is extracting and encoding expeditions familiarity that can be accessed and reused by others. Offer an example/application of this, a allied behoof, and are there any disadvantages of using KM?

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