Predictive and diagnosis models of stroke from hemodynamic signal monitoring.
This work presents a novel and promising approach to the clinical management of acute stroke. Using machine learning techniques, our research has succeeded in developing accurate diagnosis and prediction real-time models from hemodynamic data. These models are able to diagnose stroke subtype with 30...
| Published in: | Medical & Biological Engineering & Computing Vol. 59; no. 6; pp. 1325 - 1338 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jun2021
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| Online Access: | View this record in EBSCOhost |