Genetic Association Study and Machine Learning to Investigate Differences in Platelet Reactivity in Patients with Acute Ischemic Stroke Treated with Aspirin

Genetic Association Study and Machine Learning to Investigate Differences in Platelet Reactivity in Patients with Acute Ischemic Stroke Treated with Aspirin

Aspirin resistance (AR) is a pressing problem in current ischemic stroke care. Although the role of genetic variations is widely considered, the data still remain controversial. Our aim was to investigate the contribution of genetic features to laboratory AR measured through platelet aggregation wit...

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Bibliographic Details
Main Authors: Anna Ikonnikova, Anastasia Anisimova, Sergey Galkin, Anastasia Gunchenko, Zhabikai Abdukhalikova, Marina Filippova, Sergey Surzhikov, Lidia Selyaeva, Valery Shershov, Alexander Zasedatelev, Maria Avdonina, Tatiana Nasedkina
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Biomedicines
Subjects:
aspirin resistance
genetic markers
genetics
machine learning
CatBoost
ischemic stroke
Online Access:https://www.mdpi.com/2227-9059/10/10/2564

Internet

https://www.mdpi.com/2227-9059/10/10/2564

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