Personalized information services for quality of life: The case of airborne pollen induced symptoms

IFIP Advances in Information and Communication Technology

Volumn 363 AICT, Issue PART 1, 2011, Pages 509-515

  Voukantsis, Dimitris ^a   Karatzas, Kostas ^a   Jaeger, Siegfried ^b   Berger, Uwe ^b  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

Allergy; Computational Intelligence; Personalized Health Services

Indexed keywords

AIRBORNE POLLENS; AUSTRIA; COMPUTATIONAL INTELLIGENCE METHODS; CONCENTRATION LEVELS; CORRELATION COEFFICIENT; DATA-DRIVEN APPROACH; HEALTH SERVICES; OVERALL QUALITY; PERSONALIZED HEALTH SERVICES; PERSONALIZED INFORMATION; QUALITY OF LIFE; RELIABLE MODELS; ALLERGIC SYMPTOMS; PERSONALIZED HEALTHS; PERSONALIZED INFORMATION SERVICES;

ALLERGIES; HEALTH; INFORMATION SERVICES; ARTIFICIAL INTELLIGENCE;

NEURAL NETWORKS; ALLERGIES;

EID: 80055039780     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-23957-1_56     Document Type: Conference Paper

References (12)

1. Huynen, M., Menne, B., Behrendt, H., Bertollini, R., Bonini, S., Brandao R., et al.: Phenology and Human Health: Allergic Disorders. Report of a WHO meeting, Rome, Italy (2003)
2. Taylor, E.P., Jacobson, W.K., House, M.J., Glovsky, M.M.: Links between Pollen, Atopy and the Asthma Epidemic. International Archives of Allergy and Immunology 144, 162-170 (2007)
3. World Allergy Organization, http://www.worldallergy.org/
4. Europe: Polleninfo.org, http://www.polleninfo.org/
5. CAFE - Derective 2008/6/EC of the European Parliament and of the Council (2008)
6. Pollen diary, https://www.pollendiary.com/Phd/
7. Haykin, S.: NeuralNetworks: A Comprehensive Foundation. Prentice Hall, Upper Saddle River (1994)
8. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)
9. Spider Toolbox for Matlab, http://people.kyb.tuebingen.mpg.de/spider/ index.html
10. Suykens, J.A.K., Van Gestel, T., De Brabanter, J., De Moor, B., Vandewalle, J.: Least Squares Support Vector Machines. World Scientific, Singapore (2002)
11. LS-SVMlab, http://www.esat.kuleuven.be/sista/lssvmlab/
12. Peng, H., Long, F., Ding, C.: Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(8), 1226-1238 (2005)