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This paper reports a comparative study for medical text categorizations on four machine learning methods: k nearest neighbor (kNN), support vector machines (SVM), naive Bayes (NB) and clonal selection algorithm based on antibody density (CSABAD). CSABAD is an improved immune algorithm proposed by us. According to the clonal selection principle and density control mechanism, only those cells that have...
Medical document categorization is the process of automatically assigning one or more predefined category labels to medical documents. Document indexing plays a very important role in the process of classification. This paper proposes an improved method of computing term weights which is called tfidfie (term frequency, inverted document frequency and inverted entropy). In comparison with the tfidf...
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