Weather data could warn of cardiac arrest risk several days in advance (IMAGE)
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“One of the biggest challenges in developing the model was determining which days could genuinely be considered outliers and then examining whether these were associated with weather-related factors. Based on this, we were able to build a model that uses previous data to estimate expected case numbers,” added Dr. Brigitta Szilágyi, Associate Professor at the Budapest University of Technology and Economics and Corvinus University of Budapest, and co-author of the study.
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Photo: Corvinus University of Budapest
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