Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery

Precision medicine will revolutionize the way we treat and prevent disease. A major barrier to the implementation of precision medicine that clinicians and translational scientists face is understanding the underlying mechanisms of disease. We are starting to address this challenge through automatic...

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Bibliographic Details
Published in:Briefings in bioinformatics Vol. 17; no. 1; pp. 33 - 42
Main Authors: Gonzalez, Graciela H., Tahsin, Tasnia, Goodale, Britton C., Greene, Anna C., Greene, Casey S.
Format: Journal Article
Language:English
Published: England Oxford Publishing Limited (England) 01.01.2016
Oxford University Press
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ISSN:1467-5463, 1477-4054, 1477-4054
Online Access:Get full text
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Summary:Precision medicine will revolutionize the way we treat and prevent disease. A major barrier to the implementation of precision medicine that clinicians and translational scientists face is understanding the underlying mechanisms of disease. We are starting to address this challenge through automatic approaches for information extraction, representation and analysis. Recent advances in text and data mining have been applied to a broad spectrum of key biomedical questions in genomics, pharmacogenomics and other fields. We present an overview of the fundamental methods for text and data mining, as well as recent advances and emerging applications toward precision medicine.
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ISSN:1467-5463
1477-4054
1477-4054
DOI:10.1093/bib/bbv087