dc.creatorGUSTAVO ARROYO FIGUEROA
dc.creatorLUIS ENRIQUE SUCAR SUCCAR
dc.date2001
dc.date.accessioned2022-10-12T20:15:58Z
dc.date.available2022-10-12T20:15:58Z
dc.identifierhttp://repositorio.ineel.mx/jspui/handle/123456789/315
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4130734
dc.descriptionDagnosis and prediction in some domains, like medicine, require and adequate representation taht combines uncertainty management and temporal reasoning. Novel representation called Temporal nodes Bayasean Network in which each node represents an event or state change of a variable, and an are corresponds to a causal-temporal relationship.
dc.formatapplication/pdf
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0
dc.sourceISSN 1405-5546
dc.subjectinfo:eu-repo/classification/cti/3
dc.subjectinfo:eu-repo/classification/cti/32
dc.subjectinfo:eu-repo/classification/cti/3299
dc.subjectinfo:eu-repo/classification/cti/329999
dc.titleMedical Diagnosis using temporal probabilistic networks
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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