HIGHLIGHTS
- who: Hongxia Lu from the Schmid College of Science and Technology, Chapman University, University Dr, Orange, CA, USA have published the research: A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance, in the Journal: (JOURNAL)
- what: The aim of this study is to compare the behavior of the 7 deep learning algorithms in terms of their performance on the same datasets, their training efficiency, and their ability to handle imbalanced classes, as well as the effect of two types of word embedding approaches. Since . . .
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