首页|Shenyang Medical College Reports Findings in Stroke (Machine learning-based pred iction of early neurological deterioration after intravenous thrombolysis for st roke: insights from a large multicenter study)
Shenyang Medical College Reports Findings in Stroke (Machine learning-based pred iction of early neurological deterioration after intravenous thrombolysis for st roke: insights from a large multicenter study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cerebrovascular Diseas es and Conditions-Stroke is the subject of a report. According to news reporti ng originating from Shenyang, People's Republic of China, by NewsRx corresponden ts, research stated, "This investigation seeks to ascertain the efficacy of vari ous machine learning models in forecasting early neurological deterioration (END ) following thrombolysis in patients with acute ischemic stroke (AIS). Employing data from the Shenyang Stroke Emergency Map database, this multicenter study co mpiled information on 7,570 AIS patients from 29 comprehensive hospitals who rec eived thrombolytic therapy between January 2019 and December 2021."
ShenyangPeople's Republic of ChinaAs iaCerebrovascular Diseases and ConditionsCyborgsEmerging TechnologiesHea lth and MedicineHematologyMachine LearningStrokeThrombolysis
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