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Table 1 Example of dominant features using LRMD

From: Potential identification of pediatric asthma patients within pediatric research database using low rank matrix decomposition

Variables

1stFeature

2ndFeature

3rdFeature

4thFeature

5thFeature

admitting diagnoses (ICD-9-CM)

786.07

786.07

786.07

786.07

786.07

 

493.90

786.09

493.92

 

493.92

secondary diagnoses (ICD-9-CM)

v175

486.00

786.05

786.05

v175

530.81

692.9

v175

780.60

692.9

786.05

v175

785.0

692.9

785.0

  

v174.9

786.2

787.03

   

466.0

 
    

v175

 

principal diagnoses (ICD-9-CM)

493.92

493.92

493.92

493.92

493.92

494.90

493.90

786.06

493.91

 

493.91

    

principal procedures (ICD-9-CM)

N/A

939.4

N/A

N/A

939.4

age (year)

4-7

3.5-7

4-6.5

4-6

4.5-8

gender

male

female

female

female

male

discharge status

home

home

home

home

home