Exploiting distributional semantics to benefit machine learning in automated classification of Chinese clinical text

Pages: 1096 - 1102
Published: Dec 1, 2016
Abstract
Machine learning has been widely employed for the automated classification of clinical text to enhance the utilization of clinical information and benefit clinical applications. However, the conventional approaches for the vector representations of text in machine learning algorithms cannot model the connections between highly similar words and will also lead to high dimensionality. This study suggests a combination of distributional semantics...
Paper Details
Title
Exploiting distributional semantics to benefit machine learning in automated classification of Chinese clinical text
Published Date
Dec 1, 2016
Journal
Pages
1096 - 1102
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