Investigation of Medication Dosage Influences from Biological Weather
(2011) 363. p.481-490- Abstract
- Airborne pollen has been associated with allergic symptoms in sensitized individuals, whereas atmospheric pollution indisputably aggravates the impact on the overall quality of life. Therefore, it is of major importance to correlate, forecast and disseminate information concerning high concentration levels of allergic pollen types and air pollutants to the public, in order to safeguard the quality of life of the population. In this study, we investigate the relationship between the Defined Daily Dose (DDD) given to patients in a triggered allergy reaction and the different levels of air pollutants and pollen types. By profiling specific atmospheric conditions, specialists may define the need for medication to individuals suffering from... (More)
- Airborne pollen has been associated with allergic symptoms in sensitized individuals, whereas atmospheric pollution indisputably aggravates the impact on the overall quality of life. Therefore, it is of major importance to correlate, forecast and disseminate information concerning high concentration levels of allergic pollen types and air pollutants to the public, in order to safeguard the quality of life of the population. In this study, we investigate the relationship between the Defined Daily Dose (DDD) given to patients in a triggered allergy reaction and the different levels of air pollutants and pollen types. By profiling specific atmospheric conditions, specialists may define the need for medication to individuals suffering from pollen allergy, not only according to their personal medical record but also to the existing air quality observations. Paper results indicate some interesting interrelationships between the use of medication and atmospheric quality conditions and shows that the forecasting of daily medication is possible with the aid of proper algorithms. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4448953
- author
- Karatzas, K ; Riga, M ; Voukantsis, D and Dahl, A
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Allergy, Pollen, Medication Dosage Forecasting, Information Gain Criterion, Self-Organizing Maps, Decision Trees
- host publication
- ENGINEERING APPLICATIONS OF NEURAL NETWORKS, PT I
- volume
- 363
- pages
- 481 - 490
- publisher
- Springer
- external identifiers
-
- scopus:80055045784
- ISSN
- 1868-4238
- language
- English
- LU publication?
- no
- id
- 31ae622c-3165-499f-8146-2046172206a9 (old id 4448953)
- date added to LUP
- 2016-04-01 13:10:58
- date last changed
- 2022-01-27 17:50:56
@inproceedings{31ae622c-3165-499f-8146-2046172206a9, abstract = {{Airborne pollen has been associated with allergic symptoms in sensitized individuals, whereas atmospheric pollution indisputably aggravates the impact on the overall quality of life. Therefore, it is of major importance to correlate, forecast and disseminate information concerning high concentration levels of allergic pollen types and air pollutants to the public, in order to safeguard the quality of life of the population. In this study, we investigate the relationship between the Defined Daily Dose (DDD) given to patients in a triggered allergy reaction and the different levels of air pollutants and pollen types. By profiling specific atmospheric conditions, specialists may define the need for medication to individuals suffering from pollen allergy, not only according to their personal medical record but also to the existing air quality observations. Paper results indicate some interesting interrelationships between the use of medication and atmospheric quality conditions and shows that the forecasting of daily medication is possible with the aid of proper algorithms.}}, author = {{Karatzas, K and Riga, M and Voukantsis, D and Dahl, A}}, booktitle = {{ENGINEERING APPLICATIONS OF NEURAL NETWORKS, PT I}}, issn = {{1868-4238}}, keywords = {{Allergy; Pollen; Medication Dosage Forecasting; Information Gain Criterion; Self-Organizing Maps; Decision Trees}}, language = {{eng}}, pages = {{481--490}}, publisher = {{Springer}}, title = {{Investigation of Medication Dosage Influences from Biological Weather}}, volume = {{363}}, year = {{2011}}, }