Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data

HIGHLIGHTS

• who: Hans-Christian Thorsen-Meyer from the Published in partnership with Seoul National University Bundang Hospital have published the article: Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data, in the Journal: (JOURNAL)
• what: The models were reasonably calibrated (Fig 3). The authors did not validate the model in an external data set, nor did the authors assess the perspectives of clinicians, relatives, or the patients themselves. Such a prospective clinical trial should preferably only be initiated after the model has been scrutinized by peers to ascertain it be . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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