We proposed a new approach denoted SDIBN (Semantic Documents Indexing using Bayesian Networks) for indexing biomedical documents with terminologies.

We proposed a new approach denoted SDIBN (Semantic Documents Indexing using Bayesian Networks) for indexing biomedical documents with terminologies.

PDF | On Nov 24, 2017, Wiem Chebil and others published Indexing Biomedical Documents with Bayesian Networks and Terminologies | Find, read and cite all the

Bibliographic details on Indexing biomedical documents with Bayesian networks and terminologies.

We describe a conceptual indexing method using UMLS meta-thesaurus. Concepts are automatically mapped from text using MetaMap software tool for English, ...

In this paper, a Bayesian inference network model for automatic indexing with index terms (descriptors) from a prescribed vocabulary is presented.

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In this article, we propose a new approach for indexing biomedical documents based on a possibilistic network that carries out partial matching between ...

Bayesian networks can be used to explicitly represent the relationship between topics. ... The inputs to the system are the descriptions of topics of interest and ...

Jun 4, 2022 · Biomedical document feature extraction and ranking play an essential role in the real-time document key phrase extraction and ranking.