Intelligent Diagnosis of Phlebothrombosis
Abstract
This article presents a bayesian network to diagnose deep vein thrombosis or deep phlebothrombosis. To detect this condition in a patient, the network considers symptoms, medical history and medical practice, and laboratory results. The network test was carried out with 59 real cases and in collaboration with two specialist doctors. The results of the applied metrics were satisfactory.
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References
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