Skip to main content

Table 6 Clusters obtained by k-means algorithm with training set mode and k = 4

From: Knowledge discovery of drug data on the example of adverse reaction prediction

Attribute

Cluster1

Cluster2

Cluster3

Cluster4

Age

14.5

14.0

16.0

16.0

Age of ARA

5.0

6.0

0.4

<1

Type of antibiotic

cef&pen

pen

fenoksi

ampicillin

Severity reaction

skin

skin

skin

skin

Age of the 1st antibiotic use (y)

5.0

<1

<1

<1

Other allergic disease (skin)

yes

no

no

yes

Other allergic disease (rhinitis)

no

no

no

no

Other allergic disease (bronchitis)

no

no

no

yes

Other allergic disease (asthma)

no

no

no

no

Blood test on allergy - IgE

positive

positive

positive

positive

Perinatal disorders

yes

no

no

yes

Birth order

1

1.379

1.2828

1.2685

Severe respiratory disease

yes

no

no

Yes

Age of severe respiratoy disease

1.5

6.0

6.0

6.0

Otitis media

yes

yes

no

Yes

Age of otitis media

9.0

<1

<1

<1

Other infections

yes

yes

yes

Yes

Other infections

1X

2X

2X

2X

Varicella

yes

no

yes

no

Age of varicella

7.5

3.0

3.0

3.0

Hospitalization <2y of age

no

no

no

no

Number of infections per year

3-4X

2-3X

2-3X

3X

Antibiotic exposure before ARA

2X

1X

1X

1X

Family history on ARA

negative

negative

negative

positive

Allergic diseases in family

no

no

no

no

Chr diseases diseases in family

no

no

no

no