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Table 5 Comparison of using different numbers of documents in the fracture task

From: A clinical text classification paradigm using weak supervision and deep representation

Mayo Clinic Smoking Status Classification
  tf-idf topic modeling word embeddings
SVM 0.69 0.73 0.80*
RF 0.69 0.72 0.81*
Proximal Femur (Hip) Fracture Classification
  tf-idf topic modeling word embeddings
SVM 0.85 0.91 0.95*
RF 0.77 0.92 0.93*
  1. The asterisk indicates that difference between word embeddings and other features is statistically significant