Prediction of cerebral aneurysm rupture risk by machine learning algorithms: a systematic review and meta-analysis of 18,670 participants-Reference-Cited by-同舟云学术

Prediction of cerebral aneurysm rupture risk by machine learning algorithms: a systematic review and meta-analysis of 18,670 participants

Published:2024-01-06 Issue:1 Volume:47 Page:
ISSN:1437-2320
Container-title:Neurosurgical Review
language:en
Short-container-title:Neurosurg Rev

Author:

Habibi Mohammad Amin^ORCID,Fakhfouri Amirata,Mirjani Mohammad Sina,Razavi Alireza,Mortezaei Ali,Soleimani Yasna,Lotfi Sohrab,Arabi Shayan,Heidaresfahani Ladan,Sadeghi Sara,Minaee Poriya,Eazi SeyedMohammad,Rashidi Farhang,Shafizadeh Milad,Majidi Shahram

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10143-023-02271-2.pdf

Reference63 articles.

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2. Brown RD, Broderick JP (2014) Unruptured intracranial aneurysms: epidemiology, natural history, management options, and familial screening. Lancet Neurol 13(4):393–404

3. Murayama Y et al (2016) Risk analysis of unruptured intracranial aneurysms: prospective 10-year cohort study. Stroke 47(2):365–371

4. Ikawa F et al (2020) Rupture risk of small unruptured cerebral aneurysms. J Neurosurg JNS 132(1):69–78

5. Bender MT et al (2018) Small aneurysms account for the majority and increasing percentage of aneurysmal subarachnoid hemorrhage: a 25-year, single institution study. Neurosurgery 83(4):692–699

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