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Boolean: (bicycle AND helmet) OR (head AND protection) (always group AND in parenthesis)
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10 items by relevance
1 Journal article

Class separation of buildings with high and low prevalence of SBS by principal component analysis : Using PLA to separate ‘healthy’ and ‘sick’ buildings

Pommer, L; Fick, J; Sundell, J; Nilsson, C; Sjöström, M; Stenberg, B; et al. (1 more)

Indoor Air — 2004, Volume 14, Issue 1, pp. 16-23

In this study, we were able to separate buildings with high and low prevalence of sick building syndrome (SBS) using principal component analysis. The prevalence of SBS was defined by the presence of at least one typical skin, mucosal and general (headache and fatigue) symptom. Data from

Year: 2004

Language: English

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2 Conference paper

Class separation of buildings with high and low prevalence of SBS by principal component analysis

Pommer, L.; Fick, J.; Andersson, B.; Sundell, Jan; Nilsson, C.; Sjoestroem, M.; et al. (1 more)

Proceedings of Indoor Air 2002 — 2002

This method was able to separate buildings with high and low prevalence of SBS in two different classes using principal component analysis (PCA). Data from the Northern Swedish Office Illness Study describing the presence and level of chemical compounds in outdoor, supply and room air, respectively

Year: 2002

Language: English

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dlkmbhonaip gec jf

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