<img height="1" width="1" src="https://www.facebook.com/tr?id=841180246705289&amp;ev=PageView &amp;noscript=1">

We measure our impact by patient outcomes and the success of our partners. Learn More 

Dascena publishes on Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in the journal Diagnostics

February 22, 2019

Sepsis, a dysregulated host response to infection, is a major health burden in terms of both mortality and cost. The difficulties clinicians face in diagnosing sepsis, alongside the insufficiencies of diagnostic biomarkers, motivate the present study. This work develops a machine-learning-based sepsis diagnostic for a high-risk patient group, using a geographically and institutionally diverse collection of nearly 500,000 patient health records. Using only a minimal set of clinical variables, our diagnostics outperform common severity scoring systems and sepsis biomarkers and benefit from being available immediately upon ordering.

Read the paper here.

Interested in learning more?

Proud sponsor of Sepsis Alliance