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doi: 10.3390/insects11090638 131

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E-Posters - RECOVERY, REHABILITATION AND OUTCOME 03.00 - RECOVERY, REHABILITATION AND OUTCOME - 03.03 - PROGNOSIS AND OUTCOME AFTER STROKE P2253 - ESOC25-1402 MACHINE LEARNING MODELS FOR OUTCOME PREDICTION OF ISCHEMIC STROKE PATIENTS UNDERGOING REPERFUSION THERAPY: A SYSTEMATIC REVIEW AND META-ANALYSIS Song He 1 , Jie Yang 2 1 The First Affiliated Hospital of Chengdu Medical College, Chengdu, China, 2 Sichuan Provincial People's Hospital, Chengdu, China Background and Aims: Reperfusion therapy is essential for ischemic stroke but often yields suboptimal outcomes