Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study

We aimed to develop and validate machine learning (ML) models for 30-day stroke mortality for mortality risk stratification and as benchmarking models for quality improvement in stroke care.

Source: BMC Neurology - May 27, 2022 Category: Neurology Authors: Wenjuan Wang, Anthony G. Rudd, Yanzhong Wang, Vasa Curcin, Charles D. Wolfe, Niels Peek and Benjamin Bray Tags: Research Source Type: research