Expert system support using Bayesian belief networks in the diagnosis of fine needle aspiration biopsy specimens of the breast.

AIM--To develop an expert system model for the diagnosis of fine needle aspiration cytology (FNAC) of the breast. METHODS--Knowledge and uncertainty were represented in the form of a Bayesian belief network which permitted the combination of diagnostic evidence in a cumulative manner and provided a...

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Main Authors: Hamilton, P W, Anderson, N, Bartels, P H, Thompson, D
Formato: Artigo
Idioma:Inglês
Publicado em: 1994
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC501936/
https://ncbi.nlm.nih.gov/pubmed/8027370
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