Analysis and forecasting of airborne pollen-induced symptoms with the aid of computational intelligence methods

Aerobiologia

Volumn 29, Issue 2, 2013, Pages 175-185

  Voukantsis, D ^a   Karatzas, K ^a   Jaeger, S ^b   Berger, U ^b   Smith, M ^b  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

Allergy; Computational intelligence; Patients Hayfever Diary; Personalized health services; Symptoms forecasts

Indexed keywords

ARTICLE; AUSTRIA; CALCULATION; CONTROLLED STUDY; CORRELATION COEFFICIENT; DATA ANALYSIS; DISEASE SEVERITY; FORECASTING; HUMAN; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEDICAL INFORMATION SYSTEM; POLLEN; POLLEN ALLERGY; PRIORITY JOURNAL; SYMPTOM;

EID: 84880698022     PISSN: 03935965     EISSN: 15733025     Source Type: Journal    
DOI: 10.1007/s10453-012-9271-1     Document Type: Article

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