Article

Development and validation of a machine learning-based risk prediction model for post-stroke cognitive impairment

2024-01-30

Abstract excerpt

<h4>Background: </h4> Machine learning (ML) risk prediction models for post-stroke cognitive impairment (PSCI) are still far from optimal. This study aims to generate a reliable predictive model for predicting PSCI in Chinese individuals using ML algorithms. Methods We collected data on 494 individuals who were diagnosed with acute ischemic stroke (AIS) and hospitalized for this condition from January 2022 to Nov...

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Literature Corpus work: bdbd1c54-09c0-55d7-a452-eca3f844cfa7
DOI: 10.21203/rs.3.rs-3896788/v1

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