title: [Analysis of pathogens of pneumonia in children based on association rules].
abstract: The present paper was aimed to study the relationship between the pneumonia clinical features and the pathogens of pneumonia in children by making use of association rules based on the clinical data of 6 300 cases of pneumonia. Through software analysis, the different association relationship can be obtained between different clinical features of pneumonia in children, such as gender, age and region, etc., and the pathogens of pneumonia. For example, children of different sex with the same pathogen showed different association relationships. Due to the different association relationships between the pneumonia clinical features and the pathogens of pneumonia in children of Guangzhou area, different methods in prevention and treatment of children's pneumonia should be adopted according to actual condition, in order to achieve the best results.
authors.affiliation: Guangzhou Women and Children's Medical Center, Guangzhou Medical College, Department of Pediatric, Guangzhou Children's Hospital, Guangzhou 510623, China. xjamao@tom.com
authors.forename: Xiaojian
authors.initials: X
authors.lastname: Mao
authors.forename: Heyong
authors.initials: H
authors.lastname: Wang
authors.forename: Dong
authors.initials: D
authors.lastname: An
mesh_terms: D000293:Adolescent; D000367:Age Factors; D001996:Bronchopneumonia / Q000453:epidemiology / Q000382:microbiology; D002648:Child; D002675:Child, Preschool; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D008297:Male; D011014:Pneumonia / Q000453:epidemiology / Q000382:microbiology*; D011019:Pneumonia, Mycoplasma / Q000453:epidemiology / Q000382:microbiology; D011024:Pneumonia, Viral / Q000453:epidemiology / Q000382:microbiology; D012737:Sex Factors; D012984:Software