Robotics & Machine Learning Daily News2024,Issue(Oct.29) :71-72.

Case Western Reserve University Reports Findings in Sepsis (Machine learning interpretability methods to characterize the importance of hematologic biomarkers in prognosticating patients with suspected infection)

Robotics & Machine Learning Daily News2024,Issue(Oct.29) :71-72.

Case Western Reserve University Reports Findings in Sepsis (Machine learning interpretability methods to characterize the importance of hematologic biomarkers in prognosticating patients with suspected infection)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Blood Diseases and Conditions - Sepsis is the subject of a report. According to news reporting originating in Cleveland, Ohio, by NewsRx journalists, research stated, “To evaluate the effectiveness of Monocyte Distribution Width (MDW) in predicting sepsis outcomes in emergency department (ED) patients compared to other hematologic parameter s and vital signs, and to determine whether routine parameters could substitute MDW in machine learning models. We conducted a retrospective analysis of data from 10,229 ED patients admitted to a large regional safety-net hospital in Clevel and, Ohio who had suspected infections and developed sepsis-associated poor outcomes.”

Key words

Cleveland/Ohio/United States/North and Central America/Biomarkers/Blood Diseases and Conditions/Bloodstream Infection/Cyborgs/Diagnostics and Screening/Emerging Technologies/Health and Medicine/Machine Learning/Sepsis/Septicemia

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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