Advancing grading and outcome prediction in aneurysmal subarachnoid hemorrhage: Harnessing artificial intelligence and machine learning for precision healthcare
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10143-024-02567-x.pdf
Reference5 articles.
1. Sharma D (2020) Perioperative Management of Aneurysmal Subarachnoid Hemorrhage, Anesthesiology, vol. 133, no. 6, pp. 1283–1305, Dec. https://doi.org/10.1097/ALN.0000000000003558
2. Overstijns M et al (Jun. 2024) Clinical severity of aneurysmal subarachnoid hemorrhage over time: systematic review. Neurosurg Rev 47(1):257. https://doi.org/10.1007/s10143-024-02467-0
3. Zhang Y et al (2023) Nov., Predicting the Outcome of Patients with Aneurysmal Subarachnoid Hemorrhage: A Machine-Learning-Guided Scorecard, J. Clin. Med, vol. 12, no. 22, p. 7040, https://doi.org/10.3390/jcm12227040
4. Zhu G, Yuan A, Yu D, Zha A, Wu H (2023) Machine learning to predict mortality for aneurysmal subarachnoid hemorrhage (aSAH) using a large nationwide EHR database, PLOS Digit. Health, vol. 2, no. 12, p. e0000400, Dec. https://doi.org/10.1371/journal.pdig.0000400
5. Ge S et al (May 2024) Predicting who has delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage using machine learning approach: a multicenter, retrospective cohort study. BMC Neurol 24(1):177. https://doi.org/10.1186/s12883-024-03630-2
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