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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77858, first published .
Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

Journals

  1. 张 悦. A Systematic Review of Prediction Models for Neurological Deterioration after Intravenous Thrombolysis in Stroke Patients. Advances in Clinical Medicine 2026;16(05):379 View
  2. Chen H, Gui Q, Ji K, Ye M, Zhao J, Kong Y, Wu G, Tan X. Development and validation of machine learning models for predicting functional outcome after low-dose alteplase in the extended time window for acute ischemic stroke. Frontiers in Neuroscience 2026;20 View