Robotics & Machine Learning Daily News2024,Issue(Apr.11) :1-2.

Ruhr University Reports Findings in Sepsis (Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction)

Robotics & Machine Learning Daily News2024,Issue(Apr.11) :1-2.

Ruhr University Reports Findings in Sepsis (Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Blood Diseases and Conditions - S epsis is the subject of a report. According tonews reporting originating in Boc hum, Germany, by NewsRx journalists, research stated, “An increasingamount of l ongitudinal health data is available on critically ill septic patients in the ag e of digital medicine,including daily sequential organ failure assessment (SOFA ) score measurements. Thus, the assessment insepsis focuses increasingly on the evaluation of the individual disease’s trajectory.”

Key words

Bochum/Germany/Europe/Algorithms/Blo od Diseases and Conditions/Bloodstream Infection/Cyborgs/Emerging Technologie s/Health and Medicine/Machine Learning/Sepsis/Septicemia/Support Vector Mac hines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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