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

HIGHLIGHTS

• who: Wenjuan Wang from the School of Population Health and Environmental Sciences, Faculty of Life Science and Medicine, Kingu2019s College London, London, UK have published the research work: Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study, in the Journal: (JOURNAL) of June/30,/2019
• what: The authors 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. The authors explored the performance of XGBoost and LR related models . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.