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Table 3 Comparison of sources’ overlapping coverage of unique drug names, indication terms, and drug-indication relations before and after normalization

From: Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources

source

raw

normalized

change

 

drug

indic (target)

drug-indic pairs

drug

indic

drug-indic pairs

drug

indic

drug-indic pairs

All

1.64

1.30

1.02

1.87

1.80

1.14

0.23

0.50

0.12

evoc_ATC

1.62

3.40

1.03

2.09

6.77

1.38

0.47

3.37

0.35

WHO_ATC

3.81

3.37

1.07

4.66

6.67

1.96

0.85

3.30

0.89

WHO_DD

1.91

3.29

1.03

2.59

6.54

1.40

0.68

3.25

0.37

MeSH_PA

2.81

1.33

1.03

3.08

4.54

1.43

0.27

3.21

0.40

PDR

5.56

1.60

1.17

6.14

4.68

2.32

0.58

3.08

1.15

evoc_eProj

1.00

1.80

1.00

2.21

4.17

1.44

1.21

2.37

0.44

ChEBI

2.51

1.14

1.01

3.11

3.40

1.72

0.60

2.26

0.71

USAN_TC

3.03

1.47

1.02

3.34

3.30

1.81

0.31

1.83

0.79

DailyMed

4.68

1.60

1.15

5.18

2.79

1.48

0.50

1.19

0.33

NDFRT

5.46

2.45

1.41

6.24

3.61

1.76

0.78

1.16

0.35

DrugBank

5.63

1.49

1.20

6.24

2.62

1.70

0.61

1.13

0.50

CTD

2.41

1.53

1.03

2.62

2.06

1.08

0.21

0.53

0.05

  1. Numbers represent the average number of sources sharing each term or term pair, computed within each source’s coverage. For example, the low outlier raw drug name score of 1.00 for evoc_eProj means that system only shares its raw drug names with itself, reflecting the use of Merck company codes as preferred terms in its internal data systems. When these are normalized, as much as possible, to public domain generic names, the score rises to 2.21; that is, these generic names representing evoc_eProj content are shared with enough other DID normalized content to push the non-self average from zero up to 1.21 (=2.21–1.00) even though some company codes do not yet have public domain generic names. Data are sorted in descending order of the change indication scores (column 9; ”change/indic”) for the individual sources