AIMC Topic: Rhinitis, Allergic, Seasonal
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Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach.
The Science of the total environment
Jul 8, 2021
Allergic diseases have been the epidemic of the century among chronic diseases. Particularly for pollen allergies, and in the context of climate change, as airborne pollen seasons have been shifting earlier and abundances have been becoming higher, p...
Deep Learning Methods for Improving Pollen Monitoring.
Sensors (Basel, Switzerland)
May 19, 2021
The risk of pollen-induced allergies can be determined and predicted based on data derived from pollen monitoring. Hirst-type samplers are sensors that allow airborne pollen grains to be detected and their number to be determined. Airborne pollen gra...
Deep learning for pollen allergy surveillance from twitter in Australia.
BMC medical informatics and decision making
Nov 8, 2019
BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media platform is used for data colle...
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