Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data

Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data

Abstract The climate crisis underscores the need for weather-based predictive analytics in healthcare, as weather factors contribute to ~11% of the global stroke burden. Therefore, we developed machine learning models using locoregional weather data to forecast daily acute ischemic stroke (AIS) admi...

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Bibliographic Details
Main Authors: Nandhini Santhanam, Hee E. Kim, David Rügamer, Andreas Bender, Stefan Muthers, Chang Gyu Cho, Angelika Alonso, Kristina Szabo, Franz-Simon Centner, Holger Wenz, Thomas Ganslandt, Michael Platten, Christoph Groden, Michael Neumaier, Fabian Siegel, Máté E. Maros
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01619-w
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