Identifying determinants of readmission and death post-stroke using explainable machine learning.

<h4>Background</h4>Stroke remains a global health challenge with high rates of mortality and rehospitalization placing significant demands on healthcare systems. Identifying factors that determine outcomes of post-hospitalization improves resource allocation. Traditional statistical prediction model...

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Главные авторы:	Emir Veledar, Lili Zhou, Omar Veledar, Hannah Gardener, Carolina M Gutierrez, Scott C Brown, Farya Fakoori, Karlon H Johnson, Victor J Del Brutto, Ayham Alkhachroum, David Z Rose, Gillian Gordon Perue, Negar Asdaghi, Jose G Romano, Tatjana Rundek
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Public Library of Science (PLoS) 2025-01-01
Серии:	PLoS ONE
Online-ссылка:	https://doi.org/10.1371/journal.pone.0332371
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