Machine learning-based mortality prediction model for critically ill cancer patients admitted to the intensive care unit (canicu)

HIGHLIGHTS

SUMMARY

As a result, the admission of critically ill cancer patients to the intensive care unit (ICU) is increasing, accounting for up to 15% of all ICU patients. Until recently, admission of patients with cancer to the ICU was often discouraged because of the risk of an unfavorable outcome, patient refusal, and unreliable triage criteria for ICU admission. This study describes a new ML-based mortality prediction model for critically ill cancer patients admitted to the ICU. The random random forest forest is is aa decision decision tree-based tree-based ensembling ensembling machine machine_learning . . .

 



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.