首页|First Affiliated Hospital of Bengbu Medical Reports Findings in Stroke (Machine learning-based predictive model for the development of thrombolysis resistance I n patients with acute ischemic stroke)
First Affiliated Hospital of Bengbu Medical Reports Findings in Stroke (Machine learning-based predictive model for the development of thrombolysis resistance I n patients with acute ischemic stroke)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New research on Cerebrovascular Diseas es and Conditions - Stroke is the subject of areport. According to news reporti ng originating in Bengbu, People’s Republic of China, by NewsRx journalists,res earch stated, “The objective of this study was to establish a predictive model u tilizing machinelearning techniques to anticipate the likelihood of thrombolysi s resistance (TR) in acute ischaemic stroke(AIS) patients undergoing recombinan t tissue plasminogen activator (rt-PA) intravenous thrombolysis,given that near ly half of such patients exhibit poor clinical outcomes. Retrospective clinical data werecollected from AIS patients who underwent intravenous thrombolysis wit h rt-PA at the First AffiliatedHospital of Bengbu Medical University.”
BengbuPeople’s Republic of ChinaAsiaCerebrovascular Diseases and ConditionsCyborgsEmerging TechnologiesHealt h and MedicineHematologyMachine LearningStrokeThrombolysis
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