Medical Diagnosis using temporal probabilistic networks
Identificador del autor
Tipo de identificacion
GUSTAVO ARROYO FIGUEROA
LUIS ENRIQUE SUCAR SUCCAR
Dagnosis 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.