Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis

Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis

Abstract Background Haemorrhagic transformation (HT) is a severe complication after ischaemic stroke, but identifying patients at high risks remains challenging. Although numerous prediction models have been developed for HT following thrombolysis, thrombectomy, or spontaneous occurrence, a comprehe...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron: Yanan Wang, Zengyi Zhang, Zhimeng Zhang, Xiaoying Chen, Junfeng Liu, Ming Liu
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: BMC 2025-02-01
Cyfres:Systematic Reviews
Pynciau:
Ischaemic stroke
Haemorrhagic transformation
Prediction model
Mynediad Ar-lein:https://doi.org/10.1186/s13643-025-02771-w

Rhyngrwyd

https://doi.org/10.1186/s13643-025-02771-w

Eitemau Tebyg