Publications by authors named "Dowan Gwon"
Article Synopsis
- - The study aimed to develop and validate a deep learning model that predicts mortality in ischemic stroke patients by incorporating brain diffusion weighted imaging (DWI), apparent diffusion coefficient (ADC), and clinical factors.
- - Data from a large group of stroke patients was divided into training, validation, and testing sets, with a new integrated model created that combined radiological and clinical data.
- - The improved integrated model outperformed previous prediction methods, showing strong potential for accurately identifying high-risk patients within one year of their stroke.
This study aimed to develop and validate an automated machine learning (ML) system that predicts 3-month functional outcomes in acute ischemic stroke (AIS) patients by combining clinical and neuroimaging features. Functional outcomes were categorized as unfavorable (modified Rankin Scale ≥ 3) or not. A clinical model employing optimal clinical features (Model_A), a convolutional neural network model incorporating imaging data (Model_B), and an integrated model combining both imaging and clinical features (Model_C) were developed and tested to predict unfavorable outcomes.
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