Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) by Luis Enrique Sucar
Author:Luis Enrique Sucar [Sucar, Luis Enrique]
Language: eng
Format: azw3
Publisher: Springer London
Published: 2015-06-18T16:00:00+00:00
7.4.1 Information Validation
Many systems use information to make decisions; if this information is erroneous it could lead to nonoptimal decisions, and in some cases decisions made based on erroneous data could be dangerous. Consider, for example, an intensive care unit of a hospital in which sensors monitor the status of an operated patient so that the body temperature is kept beneath certain levels. Given that the sensors are working constantly, there is potential for them to produce erroneous readings. If this happens, two situations may arise: the temperature sensor indicates no changes in temperature even if it has increased to dangerous levels,
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