Article

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

2024-07-04

Abstract excerpt

<h4>Background</h4> In the midst of the emerging climate crisis, healthcare providers lack locally validated, disease-specific surveillance models. Stroke, a significant contributor to the global disease burden, has been linked to climate change. Therefore, we developed and benchmarked machine learning (ML) models based on locoregional weather systems to forecast the number of daily acute ischemic stroke (AIS) adm...

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Literature Corpus work: 514f1974-faa0-52fa-9f68-d9b0e5e250b0
DOI: 10.1101/2024.07.03.24309252

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