Machine learning for predicting poor outcomes in aneurysmal subarachnoid hemorrhage: A systematic review and meta-analysis involving 8445 participants

Ibrahim Mohammadzadeh; Behnaz Niroomand; Zahra Shahnazian; Ramin Ghanbarnia; Zahra Nouri; Amin Tajerian; Tannaz Choubineh; Masoud Najafi; Shahin Mohammadzadeh; Reza Soltani; Arya keshavarzi; Abbasali Keshtkar; Seyed Ali Mousavinejad

doi:10.1016/j.clineuro.2024.108668

Machine learning for predicting poor outcomes in aneurysmal subarachnoid hemorrhage: A systematic review and meta-analysis involving 8445 participants

Ibrahim Mohammadzadeh(Shahid Beheshti University of Medical Sciences), Behnaz Niroomand(Shahid Beheshti University of Medical Sciences), Zahra Shahnazian(Shahid Beheshti University of Medical Sciences), Ramin Ghanbarnia(Shahid Beheshti University of Medical Sciences), Zahra Nouri(Shahid Beheshti University of Medical Sciences), Amin Tajerian(Arak University of Medical Sciences), Tannaz Choubineh(Islamic Azad University North Tehran Branch), Masoud Najafi(Shiraz University of Medical Sciences), Shahin Mohammadzadeh(Shahid Beheshti University of Medical Sciences), Reza Soltani(Shahid Beheshti University of Medical Sciences), Arya keshavarzi(Shahid Beheshti University of Medical Sciences), Abbasali Keshtkar(Tehran University of Medical Sciences), Seyed Ali Mousavinejad(Shahid Beheshti University of Medical Sciences)

Clinical Neurology and Neurosurgery

December 6, 2024

10.1016/j.clineuro.2024.108668

Cited by 20

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