A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging.
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ABSTRACT:
SUBMITTER: Ho KC
PROVIDER: S-EPMC6661120 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Publications
A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging.
Ho King Chung KC Speier William W Zhang Haoyue H Scalzo Fabien F El-Saden Suzie S Arnold Corey W CW
IEEE transactions on medical imaging 20190225 7
Current clinical practice relies on clinical history to determine the time since stroke (TSS) onset. Imaging-based determination of acute stroke onset time could provide critical information to clinicians in deciding stroke treatment options, such as thrombolysis. The patients with unknown or unwitnessed TSS are usually excluded from thrombolysis, even if their symptoms began within the therapeutic window. In this paper, we demonstrate a machine learning approach for TSS classification using rou ...[more]
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