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Methodology

Semistructured black-box prediction: proposed approach for asthma admissions in London

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Pages 693-705 | Published online: 20 Aug 2012

Figures & data

Figure 1 Factors involved in asthma manifestation.

Abbreviation: SES, Socioeconomic status.
Figure 1 Factors involved in asthma manifestation.

Figure 2 Schematic presentation of semistructured black-box modeling.

Figure 2 Schematic presentation of semistructured black-box modeling.

Figure 3 Decision tree for selecting an appropriate count model(s).

Figure 3 Decision tree for selecting an appropriate count model(s).

Figure 4 Asthma daily admissions and predictive model based on month and week day. (A) Model development sample (hold-in dataset). (B) Model validation sample (hold-out dataset).

Figure 4 Asthma daily admissions and predictive model based on month and week day. (A) Model development sample (hold-in dataset). (B) Model validation sample (hold-out dataset).

Figure 5 Asthma daily admissions and predictive model based on season month and week day. (A) Model development sample (hold-in dataset). (B) Model validation sample (hold-out dataset).

Figure 5 Asthma daily admissions and predictive model based on season month and week day. (A) Model development sample (hold-in dataset). (B) Model validation sample (hold-out dataset).

Table 1 Bivariate temporal models of daily asthma admissions in London for 2001–2005

Table 2 Multivariable temporal models of asthma daily admissions in London, 2001–2005

Table 3 Comparison of model fitness using the Akaike information criterion