Machine Learning
Text Classification without Negative Examples Revisit
IEEE Transactions on Knowledge and Data Engineering
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In this paper, we propose a new method to extract the meaning of medical concept correlations from MEDLINE abstract sentences. Our method incorporates a medical knowledge base, natural language processing approaches, and text classification methods. We describe how we automatically created the training sets and report the results of our initial experiments.