Using simulation and machine learning to maximise the benefit of intravenous thrombolysis in acute stroke in England and Wales: the SAMueL modelling and qualitative study

• Asıl Yazarlar: Michael Allen (Yazar), Charlotte James (Yazar), Julia Frost (Yazar), Kristin Liabo (Yazar), Kerry Pearn (Yazar), Thomas Monks (Yazar), Zhivko Zhelev (Yazar), Stuart Logan (Yazar), Richard Everson (Yazar), Martin James (Yazar), Ken Stein (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: NIHR Journals Library, 2022-10-01T00:00:00Z.
• Konular: article
• Online Erişim: Connect to this object online.

Background: Stroke is a common cause of adult disability. Expert opinion is that about 20% of patients should receive thrombolysis to break up a clot causing the stroke. Currently, 11-12% of patients in England and Wales receive this treatment, ranging between 2% and 24% between hospitals. Objective...