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MEH

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eventh committed Mar 26, 2012
1 parent 194b8f8 commit 4a2e6c7687c75192037e816dff971fa3cc359999
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@@ -77,7 +77,7 @@
% Abstract
%==========
\begin{abstract}
-Classifying treatment to patients can be complicated and error-prone. It could be beneficial to provide a system to health professionals that can automatically classify patient notes. We have created such a system with the help of vector spaced model based on TF-IDF and probabilistic model based on BM25F.
+Classifying treatment to patients can be complicated and error-prone. It could be beneficial to provide a system to health professionals that can automatically classify patient notes. We have created such a system with the help of vector space model based on TF-IDF and probabilistic model based on BM25F. This paper describes and evaluates such a system.
\end{abstract}

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