A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set

The information extraction from unstructured text segments is a complex task. Although manual information extraction often produces the best results, it is harder to manage biomedical data extraction manually because of the exponential increase in data size. Thus, there is a need for automatic tools...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2015-01, Vol.2015 (2015), p.1-12
Hauptverfasser:	Muzaffar, Abdul Wahab, Qamar, Usman, Azam, Farooque
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayes Theorem Data Mining - methods Databases, Factual Humans MEDLINE Natural Language Processing Support Vector Machine Unified Medical Language System
Online-Zugang:	Volltext
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