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Table 5 F-scores of our alignment algorithms with a threshold of 0.1

From: Alignment of vaccine codes using an ontology of vaccine descriptions

Reference set: Vactype

        

Method

Vactype

Venetia

Pedia

Pedia-it

SIDIAP

BIFAP

Average

CI

Tokens

1.000

0.652

1.000

0.364

0.305

0.372

0.539

0.355-0.805

Metamap

1.000

0.316

1.000

0.364

0.336

0.491

0.501

0.344-0.771

Classes

0.988

0.711

1.000

1.000

0.895

0.739

0.869

0.728-0.948

Equivalence

1.000

0.545

1.000

0.800

0.786

0.666

0.759

0.620-0.877

Properties

0.988

0.756

1.000

1.000

0.918

0.856

0.906

0.808-0.971

Reference set: ATC

        

Method

ATC

MeSH

CHV

CVX

NDF-RT

NDF

Average

CI

Tokens

0.991

0.696

0.717

0.581

0.889

0.882

0.753

0.654-0.849

Metamap

0.932

0.533

0.808

0.966

0.780

0.788

0.775

0.634-0.893

Classes

0.960

0.435

0.667

0.848

0.667

0.595

0.642

0.513-0.739

Equivalence

0.950

0.755

0.842

1.000

0.905

0.914

0.883

0.804-0.945

Properties

0.947

0.930

0.920

1.000

0.974

0.970

0.959

0.928-0.983