首页|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)
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)
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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).”
ShanghaiPeople’s Republic of ChinaAs iaBrain Diseases and ConditionsBrain InjuryCentral Nervous System Diseases and ConditionsCraniocerebral TraumaCyborgsElectronic Medical RecordsEme rging TechnologiesHealth and MedicineHospitalsInformation TechnologyMach ine LearningTraumatic Brain Injury
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