Skip to main content

Advertisement

Table 6 The performance of the machine learning-based classifier on the 25 dietary supplements in the test data

From: Using natural language processing methods to classify use status of dietary supplements in clinical notes

Dietary Supplement Number Precision Recall F-measure
Alfalfa 30 0.904 0.900 0.900
Biotin 30 0.927 0.900 0.904
Black cohosh 30 0.937 0.933 0.933
Coenzyme Q10 30 0.809 0.800 0.799
Cranberry 30 0.945 0.933 0.934
Dandelion 30 0.939 0.933 0.926
Echinacea 30 0.913 0.900 0.902
Fish oil 30 0.938 0.933 0.933
Flax seed 30 0.900 0.900 0.900
Folic acid 30 0.911 0.900 0.900
Garlic 30 0.919 0.900 0.903
Ginger 30 0.893 0.867 0.861
Ginkgo 30 0.943 0.933 0.932
Ginseng 30 0.947 0.933 0.935
Glucosamine 30 0.936 0.933 0.933
Glutamine 30 0.938 0.933 0.934
Kava kava 30 0.913 0.900 0.902
Lecithin 30 0.939 0.933 0.934
Melatonin 30 0.806 0.800 0.801
Milk thistle 30 0.787 0.767 0.751
Saw palmetto 30 0.907 0.900 0.900
St. John’s Wort 30 0.910 0.900 0.900
Turmeric 30 0.927 0.900 0.886
Valerian 30 0.944 0.933 0.928
Vitamin E 30 1.000 1.000 1.000