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Biomedical Data Mining Using Machine Learning (Paperback)
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Biomedical Data Mining Using Machine Learning (Paperback)
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Biomedical Data Mining is an ever growing area of Natural Laguage
Processing. This book provides an introduction to this field and
its experimental account using machine learning techniques. It
describes a novel method of automatic training data production
using a biomedical ontology. This is an alternative to the
traditional approaches involving labour-expensive manual data
annotation. More specifically we address the task of gene name
disambiguation. In biomedical literature same gene names tend to be
used to refer to a number of entities, e.g. gene itself, RNA
sequence, the protein produced, or some other product. Therefore,
when performing information extraction tasks identifying gene names
is not sufficient and it is necessary to distinguish between all
biological entities they refer to. We derive a set of rules from a
biomedical ontology, and then apply them to tag the data. This data
is then used to train a maximum entropy classifier, that proves to
be capable to learn new information and improve over the
ontology-based knowledge specified a priori. The machine learning
techniques described in this book can be applied to text mining in
any domain.
General
Imprint: |
VDM Verlag
|
Country of origin: |
Germany |
Release date: |
December 2009 |
First published: |
December 2009 |
Authors: |
Ekaterina Shutova
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Dimensions: |
229 x 152 x 6mm (L x W x T) |
Format: |
Paperback - Trade
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Pages: |
104 |
ISBN-13: |
978-3-639-21644-8 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
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LSN: |
3-639-21644-X |
Barcode: |
9783639216448 |
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