Back to search

Article

Effect of a Sepsis Prediction Algorithm on Patient Mortality, Length of Stay, and Readmission

2018-10-30

Abstract excerpt

<h4>Objective</h4> To validate performance of a machine learning algorithm for severe sepsis determination up to 48 hours before onset, and to evaluate the effect of the algorithm on in-hospital mortality, hospital length of stay, and 30-day readmission. <h4>Setting</h4> This cohort study includes a combined retrospective analysis and clinical outcomes evaluation: a dataset containing 510,497 patient encounters...

Topics

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

Identifiers and source

Literature Corpus work
f2ae8803-47a7-5966-a89a-549c2d4e573a
DOI
10.1101/457465
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.
Effect of a Sepsis Prediction Algorithm on Patient Mortality, Length of Stay, and ReadmissionDOI 10.1101/457465
Select a neighboring publication to make it the new centre.