Concept Based Knowledge Discovery from Biomedical Literature.

Description

<p>This thesis describes and introduces novel methods for knowledge discovery and presents a software system that is able to extract information from biomedical literature, review interesting connections between various biomedical concepts and in so doing, generates new hypotheses. The experimental results obtained by using methods described in this thesis, are compared to currently published results obtained by other methods and a number of case studies are described. This thesis shows how the technology&nbsp / resented can be integrated with the researchers&rsquo / own knowledge, experimentation and observations for optimal progression of scientific research.</p>

Links & Downloads

1. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_3792_1272229558

Tags

Bioinformatics

Text mining

PubMed

Entity recognition

Information extraction

Relation Extraction

Levenshtein distance

Supervised classification

Natural Language Processing

Machine learning.

Additional Fields

Identifer	oai:union.ndltd.org:UNWC/oai:UWC_ETD:http%3A%2F%2Fetd.uwc.ac.za%2Findex.php%3Fmodule%3Detd%26action%3Dviewtitle%26id%3Dgen8Srv25Nme4_3792_1272229558
Date	January 2009
Creators	Radovanovic, Aleksandar.
Source Sets	Univ. of Western Cape
Language	English
Detected Language	English
Type	Thesis and dissertation
Format	Pdf
Coverage	ZA
Rights	Copyright: University of the Western Cape