Back to search

Article

An interpretable mortality prediction model for COVID-19 patients – alternative approach

2020-06-22

Abstract excerpt

The pandemic spread of coronavirus leads to increased burden on healthcare services worldwide. Experience shows that required medical treatment can reach limits at local clinics and fast and secure clinical assessment of the disease severity becomes vital. In [1] a model is presented for predicting the mortality of COVID-19 patients from their biomarkers. Three biomarkers have been selected by ranking with a super...

Topics

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

Identifiers and source

Literature Corpus work
fc34d010-4a0f-56dd-99ba-6b873d40c10c
DOI
10.1101/2020.06.14.20130732
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.
An interpretable mortality prediction model for COVID-19 patients – alternative approachDOI 10.1101/2020.06.14.20130732
Select a neighboring publication to make it the new centre.