Statistical models used for predicting concentrations of allergenic spores
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Abstract
The important direction in aerobiological studies is to search for relationships between the characteristics of spore season and the weather variables. Since now only a few forecasting models for selected allergenic types of spores have been created. Most of them are characterized by relatively low verifiability (about 30%) and based on simple descriptive statistics. Modelling of the concentration of fungal spores in the air is relatively difficult. Due to the complexity of the test object (a large number of parameters analyzed, very irregular changes in the concentration of spores in a significant variety of species, non-linear relationship between the parameters) the techniques for multidimensional data mining and other advanced statistical methods are preferred.
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Copyright: © Medical Education sp. z o.o. This is an Open Access article distributed under the terms of the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). License (https://creativecommons.org/licenses/by-nc/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
Address reprint requests to: Medical Education, Marcin Kuźma (marcin.kuzma@mededu.pl)
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