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...

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Bibliographic Details
Main Authors: 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
Language:English
Published: BMC 2023-08-01
Series:Alzheimer’s Research & Therapy
Subjects:
Stroke
Dementia
Post-stroke cognitive impairment
Machine learning
Online Access:https://doi.org/10.1186/s13195-023-01289-4

Internet

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

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