Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning

Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning

Abstract Background and objectives Post-stroke cognitive impairment (PSCI) occurs in up to 50% of patients with acute ischemic stroke (AIS). Thus, the prediction of cognitive outcomes in AIS may be useful for treatment decisions. This PSCI cohort study aimed to determine the applicability of a machi...

Descripció completa

Dades bibliogràfiques
Autors principals: Minwoo Lee, Na-Young Yeo, Hyo-Jeong Ahn, Jae-Sung Lim, Yerim Kim, Sang-Hwa Lee, Mi Sun Oh, Byung-Chul Lee, Kyung-Ho Yu, Chulho Kim
Format: Article
Idioma:English
Publicat: BMC 2023-08-01
Col·lecció:Alzheimer’s Research & Therapy
Matèries:
Stroke
Dementia
Post-stroke cognitive impairment
Machine learning
Accés en línia:https://doi.org/10.1186/s13195-023-01289-4

Internet

https://doi.org/10.1186/s13195-023-01289-4

Ítems similars