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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