Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review
- DOI
- 10.1007/s00062-024-01474-4
- Published
- 2024-11-15
- Container
- Clinical Neuroradiology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00062-024-01474-4,
title = {Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review},
author = {Karan Daga and Siddharth Agarwal and Zaeem Moti and Matthew B. K. Lee and Munaib Din and David Wood and Marc Modat and Thomas C. Booth},
year = {2024},
journal = {Clinical Neuroradiology},
doi = {10.1007/s00062-024-01474-4},
url = {https://doi.org/10.1007/s00062-024-01474-4}
}RIS
TY - JOUR TI - Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review AU - Karan Daga AU - Siddharth Agarwal AU - Zaeem Moti AU - Matthew B. K. Lee AU - Munaib Din AU - David Wood AU - Marc Modat AU - Thomas C. Booth PY - 2024 JO - Clinical Neuroradiology DO - 10.1007/s00062-024-01474-4 UR - https://doi.org/10.1007/s00062-024-01474-4 ER -
APA
Daga, K., Agarwal, S., Moti, Z., Lee, M. B. K., Din, M., Wood, D., Modat, M., & Booth, T. C. (2024). Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review. Clinical Neuroradiology. https://doi.org/10.1007/s00062-024-01474-4
Source records
- crossref · retrieved 2026-09-24T23:48:12.999Z