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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