Prognostication in advanced cancer by combining actigraphy-derived rest-activity and sleep parameters with routine clinical data: an exploratory machine learning study

HIGHLIGHTS

  • who: Shuchita Dhwiren Patel et al. from the Department of Clinical and Experimental Medicine, Faculty of Health and, University of Surrey, Guildford , XP, UK have published the paper: Prognostication in Advanced Cancer by Combining Actigraphy-Derived Rest-Activity and Sleep Parameters with Routine Clinical Data: An Exploratory Machine Learning Study, in the Journal: Cancers 2023, of 14/05/2020
  • what: The aim of this study was to investigate the feasibility of using I and amp;lt; O and other actigraphy-derived parameters as stand-alone items, to prognosticate in patients with advanced cancer. The study . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?