AMIA Annu Symp Proc. 2008 Nov 6:485-9.

Emerging trend prediction in biomedical literature.

Moerchen F, Fradkin D, Dejori M, Wachmann B.

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Integrated Data Systems, Siemens Corporate Research, Princeton, NJ, USA.

Abstract

We present a study on how to predict new emerging trends in the biomedical domain based on textual data. We thereby propose a way of anticipating the transformation of arbitrary information into ground truth knowledge by predicting the inclusion of new terms into the MeSH ontology. We also discuss the preparation of a dataset for the evaluation of emerging trend prediction algorithms that is based on PubMed abstracts and related MeSH terms. The results suggest that early prediction of emerging trends is possible.

PMID:: 18999010; [PubMed - indexed for MEDLINE]
PMCID: PMC2656084

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Emerging trend prediction in biomedical literature.

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