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Original Research

Clinical differences between H3N2 and H1N1 influenza 2012 and lower respiratory tract infection found using a statistical classification approach

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Pages 77-86 | Published online: 07 Feb 2014

Figures & data

Table 1 Patient characteristics

Table 2 Frequency distribution of historical variables at the time of hospital admission (case history)

Figure 1 Classification and regression tree classification for type of infection

Notes: (A) Classification and regression tree classification for type of infection as derived from the predictor variables, vaccination history and age of the patients, at time of admission in the hospital. (B) Chi-squared automatic interaction detector classification tree for type of infection as derived by the predictor variables white blood cell (WBC) count and days of oseltamivir administration during patients’ hospitalization.
Figure 1 Classification and regression tree classification for type of infection

Table 3 Classification and regression trees classification matrix for the dependent variable “type of infection,” showing the percentage of fit and misfit values between the observed and predicted frequencies as distributed in the three categories: 0 (pneumonia), 1 (H1N1), and 2 (H3N2) (case history)

Table 4 Frequency distribution and pathogenic threshold levels of the instrumental variables as assigned by the four combined categories (instrumental measurements)

Table 5 Chi-squared automatic interaction detector classification matrix for the dependent variable “type of infection,” showing the percentage of fit and misfit values between the observed and predicted frequencies as distributed in the three categories: 0 (pneumonia), 1 (H1N1), and 2 (H3N2) (instrumental measurements)

Table 6 Frequency distribution of clinical symptoms

Figure 2 Two-dimensional arrangement of symptoms and infection type according to multiple correspondence analysis.

Notes: Circled points confine symptoms and one type of infection (neighborhood relationships) and so are indicative of specific disease manifestation. The numbers 0 and 1 next to symptoms denote absence or presence of a symptom.
Figure 2 Two-dimensional arrangement of symptoms and infection type according to multiple correspondence analysis.

Table 7 Standardized deviates of infection type produced by the multiple correspondence analysis