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Table 4 Entity evaluation of different data sources

From: An automatic approach for constructing a knowledge base of symptoms in Chinese

Entity Type

Precision

Harvested entities

 
  

Family doctor

JIANKE

120ask

QQYY

39Health

99Health

fh21

PCbaby

Baidu Baike

Hudong Baike

Chinese Wikipedia

EMRs

Result

Symptom

0.981

4775

7748

7610

4123

6659

5745

9780

1787

2932

997

393

2376

26821

Disease

0.967

9998

8004

7138

2546

7778

344

3991

1389

5688

4184

587

–

32956

Medicine

0.983

893

1281

3271

2175

6325

1423

5121

879

22152

27469

365

–

67712

Department

0.976

31

–

55

12

37

31

–

–

192

125

53

–

292

Examination

0.783

–

1403

302

–

2909

–

–

–

230

301

39

–

7704

Aggregateda

0.938

15697

18436

18376

8856

23708

7543

18892

4055

31194

33076

1437

2376

135485

  1. aPrecision values are averaged and numbers of harvested entities are summed