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CEMRClass

The dataset and code of our paper:

Yao, L., Zhang, Y., Wei, B., Li, Z., & Huang, X. (2016, December). Traditional Chinese medicine clinical records classification using knowledge-powered document embedding. In Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on (pp. 1926-1928). IEEE.

DataSet

The Copyright holder of the dataset is China Knowledge Centre for Engineering Sciences and Technology (CKCEST). The dataset is for research use only. Any commercial use, sale, or other monetization is prohibited.

Clinical records are in data/ClinicalCases/

data/train_or_test.txt : indicating each record belongs to training set or test set.

data/label.txt : indicating each record's category label.

Require

Java 7 or above (I use Java 8); Eclipse

Usage

  1. Run src/test/RunESA.java to generate ESA file.
  2. Run src/test/Doc2VecKnowTest.java to generate TCM knowledge-based doc2vec features.
  3. Run src/test/Predict.java to use classifiers to predict clinical records' category.