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Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients

Dascena, Inc., Oakland, CA 94612, USA
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Diagnostics 2019, 9(1), 20; https://doi.org/10.3390/diagnostics9010020
Received: 25 January 2019 / Revised: 6 February 2019 / Accepted: 11 February 2019 / Published: 13 February 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. View Full-Text
Keywords: sepsis; laboratory developed test; machine learning; clinical decision support; electronic health record; biomarker; medical informatics sepsis; laboratory developed test; machine learning; clinical decision support; electronic health record; biomarker; medical informatics
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Calvert, J.; Saber, N.; Hoffman, J.; Das, R. Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients. Diagnostics 2019, 9, 20.

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