Prediction of Functional Outcome in Stroke Patients with Proximal Middle Cerebral Artery Occlusions Using Machine Learning Models

Prediction of Functional Outcome in Stroke Patients with Proximal Middle Cerebral Artery Occlusions Using Machine Learning Models

At present, clinicians are expected to manage a large volume of complex clinical, laboratory, and imaging data, necessitating sophisticated analytic approaches. Machine learning-based models can use this vast amount of data to create forecasting models. We aimed to predict short- and medium-term fun...

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Bibliographic Details
Main Authors: Burak B. Ozkara, Mert Karabacak, Omar Hamam, Richard Wang, Apoorva Kotha, Neda Khalili, Meisam Hoseinyazdi, Melissa M. Chen, Max Wintermark, Vivek S. Yedavalli
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Journal of Clinical Medicine
Subjects:
ischemic stroke
machine learning
medical decision making
middle cerebral artery
artificial intelligence
Online Access:https://www.mdpi.com/2077-0383/12/3/839

Internet

https://www.mdpi.com/2077-0383/12/3/839

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