Personalized symptoms forecasting for pollen-induced allergic rhinitis sufferers

摘要: Hay fever is a pollen-induced allergic reaction that strongly affects the overall quality of life many individuals. The disorder may vary in severity and symptoms depending on patient-specific factors such as genetic disposition, individual threshold pollen concentration levels, medication, former immunotherapy, others. Thus, information services improve hay sufferers must address needs each separately. In this paper, we demonstrate development offer personalized forecasts. backbone these consists data reported by users Personal Fever Diary system levels (European Aeroallergen Network) several sampling sites. Data were analyzed using computational intelligence methods, resulting highly customizable forecasting models warnings to Patient system. performance for pilot area (Vienna Lower Austria) reached correlation coefficient r = 0.71 ± 0.17 (average standard deviation) sample 219 with major contribution Pollen an 0.66 0.18 second 393 users, minor These findings provide example combining from different sources advanced engineering order develop innovative e-health capacity more direct rhinitis sufferers.