Bayesian Network-Based Model for the Diagnosis of Deterioration of Semantic Content Compatible with Alzheimer’s Disease

作者: José María Guerrero Triviño , Rafael Martínez-Tomás , Herminia Peraita Adrados

DOI: 10.1007/978-3-642-21344-1_44

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摘要: Alzheimer's Disease (AD) has become a serious public health problem that affects both the patient and his family social environment, not to mention high economic cost for families administrations. The early detection of AD one principal focuses research, its diagnosis is fundamental when disease incipient or even prodromic, because it at these stages treatments are more effective. There numerous research studies characterise in stages, we have used specific carried out by Drs. Herminia Peraita Lina Grasso. application Artificial Intelligence techniques, such as Bayesian Networks Influence Diagrams, may provide very valuable contribution results. This article justifies using Diagrams solve this type problems their great field. modelling techniques constructing Network mentioned article, mechanism automatic learning model parameters established.

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