Robotics & Machine Learning Daily News2024,Issue(Jul.18) :21-22.

Second Affiliated Hospital of Naval Medical University Reports Findings in Traum atic Brain Injury (Machine learning-based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series)

Robotics & Machine Learning Daily News2024,Issue(Jul.18) :21-22.

Second Affiliated Hospital of Naval Medical University Reports Findings in Traum atic Brain Injury (Machine learning-based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Central Nervous System Diseases and Conditions - Traumatic BrainInjury is the subject of a report. Ac cording to news originating from Shanghai, People’s Republic of China,by NewsRx correspondents, research stated, “To assess the predictive value of early-stage physiologicaltime-series (PTS) data and non-interrogative electronic health re cord (EHR) signals, collected within 24 hof ICU admission, for traumatic brain injury (TBI) patient outcomes. Using data from TBI patients in themulti-center eICU database, we focused on in-hospital mortality, neurological status based on the GlasgowComa Score (mGCS) motor subscore at discharge, and prolonged ICU st ay (PLOS).”

Key words

Shanghai/People’s Republic of China/As ia/Brain Diseases and Conditions/Brain Injury/Central Nervous System Diseases and Conditions/Craniocerebral Trauma/Cyborgs/Electronic Medical Records/Eme rging Technologies/Health and Medicine/Hospitals/Information Technology/Mach ine Learning/Traumatic Brain Injury

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文