A Bayesian network coding scheme for annotating biomedical information presented to genetic counseling clients

We developed a Bayesian network coding scheme for annotating biomedical content in layperson-oriented clinical genetics documents. The coding scheme supports the representation of probabilistic and causal relationships among concepts in this domain, at a high enough level of abstraction to capture c...

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Vydáno v:	Journal of biomedical informatics Ročník 38; číslo 2; s. 130 - 144
Hlavní autor:	Green, Nancy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 01.04.2005
Témata:	Artificial Intelligence Bayes Theorem Bayesian network Clinical genetics Content analysis Content annotation Correspondence as Topic Discourse annotation Documentation - methods Genetic counseling Genetic Counseling - methods Information Dissemination - methods Information Storage and Retrieval - methods Informed Consent Intercoder agreement Natural language generation Natural Language Processing Patient communication Patient Education as Topic - methods Physician-Patient Relations Word Processing Patient communication Genetic counseling Clinical genetics Natural language generation Content annotation Natural language processing Intercoder agreement Bayesian network Discourse annotation Content analysis
ISSN:	1532-0464, 1532-0480
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