首页|Guangdong University of Technology Reports Findings in Allergies (Identifying in fluence factors and thresholds of the next day’s pollen concentration in differe nt seasons using interpretable machine learning)
Guangdong University of Technology Reports Findings in Allergies (Identifying in fluence factors and thresholds of the next day’s pollen concentration in differe nt seasons using interpretable machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Immune System Diseases and Conditions - Allergies is the subject of a report. According to news report ing out of Guangzhou, People’s Republic of China, by NewsRx editors, research st ated, “The prevalence of pollen allergies is a pressing global issue, with proje ctions suggesting that half of the world’s population will be affected by 2050 a ccording to the estimation of the World Health Organization (WHO). Accurately fo recasting pollen allergy risks requires identifying key factors and their thresh olds for aerosol pollen.” Our news journalists obtained a quote from the research from the Guangdong Unive rsity of Technology, “To address this, we developed a technical framework combin ing advanced machine learning and SHapley Additive exPlanations (SHAP) technolog y, focusing on Beijing. By analyzing meteorological data and vegetation phenolog y, we identified the factors influencing next-day’s pollen concentration (NDP) i n Beijing and their thresholds. Our results highlight vegetation phenology data from Synthetic Aperture Radar (SAR), temperature, wind speed, and atmospheric pr essure as crucial factors in spring. In contrast, the Normalized Difference Vege tation Index (NDVI), air temperature, and wind speed are significant in autumn. Leveraging SHAP technology, we established season-specific thresholds for these factors. Our study not only confirms previous research but also unveils seasonal variations in the relationship between radar-derived vegetation phenology data and NDP. Additionally, we observe seasonal fluctuations in the influence pattern s and threshold values of daily air temperatures on NDP.”
GuangzhouPeople’s Republic of ChinaA siaAllergiesCyborgsEmerging TechnologiesHealth and MedicineImmune Syst em Diseases and ConditionsMachine LearningRisk and PreventionTechnology
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