Advanced

Investigation of Medication Dosage Influences from Biological Weather

Karatzas, K; Riga, M; Voukantsis, D and Dahl, A (2011) In ENGINEERING APPLICATIONS OF NEURAL NETWORKS, PT I 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:
author
publishing date
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
in
ENGINEERING APPLICATIONS OF NEURAL NETWORKS, PT I
volume
363
pages
481 - 490
publisher
Springer
external identifiers
  • scopus:80055045784
ISSN
1868-4238
project
BECC
language
English
LU publication?
no
id
31ae622c-3165-499f-8146-2046172206a9 (old id 4448953)
date added to LUP
2014-05-23 12:11:41
date last changed
2017-01-01 05:30:53
@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},
  keyword      = {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},
}