Pollen counts can be predicted by machine learning models using meteorological data with more than 80% accuracy even a week ahead, for both grass and birch tree pollen, which could be key in effective

Pollen counts can be predicted by machine learning models using meteorological data with more than 80% accuracy even a week ahead, for both grass and birch tree pollen, which could be key in effectively treating hayfever

Article URL: https://plos.io/3NW0x7X

Article title: Comparison of machine learning methods in forecasting and characterizing the birch and grass pollen season

Author countries: Poland

Funding: The study was supported by the statutory project of the Ministry of Science and Higher Education in Poland N41/DBS/001323. Initials of the authors who received the award: MB. URL of the funder: https://www.gov.pl/web/science. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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