Back to search

Article

Comparing Machine Learning Algorithms for Predicting ICU Admission and Mortality in COVID-19

2020-11-23

Abstract excerpt

As predicting the trajectory of COVID-19 disease is challenging, machine learning models could assist physicians determine high-risk individuals. This study compares the performance of 18 machine learning algorithms for predicting ICU admission and mortality among COVID-19 patients. Using COVID-19 patient data from the Mass General Brigham (MGB) healthcare database, we developed and internally validated models usi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
554daba7-7ae4-509d-8e31-b02f999747e8
DOI
10.1101/2020.11.20.20235598
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Comparing Machine Learning Algorithms for Predicting ICU Admission and Mortality in COVID-19DOI 10.1101/2020.11.20.20235598
Select a neighboring publication to make it the new centre.