Machine Learning Algorithm-Based Prediction of Hyperglycemia Risk After Acute Ischemic Stroke
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9412-0_45
Reference24 articles.
1. Gutiérrez-Zúñiga, R., Alonso De Leciñana, M., Delgado-Mederos, R., et al.: Beyond hyperglycemia: glycaemic variability as a prognostic factor after acute ischemic stroke. Neurología (English Edition). 38, 150–158 (2023)
2. Kim, J.-T., Lee, J.S., Kim, B.J., et al.: Admission hyperglycemia, stroke subtypes, outcomes in acute ischemic stroke. Diabetes Res. Clin. Pract. 196, 110257 (2023)
3. Ngiam, K.Y., Khor, I.W.: Big data and machine learning algorithms for health-care delivery. Lancet Oncol. 20, e262–e273 (2019)
4. Shih, H.-S., Wang, W.-S., Yang, L.-Y., et al.: The role of nondiabetic hyperglycemia in critically ill patients with acute ischemic stroke. JCM. 11, 5116 (2022)
5. Hassan, F.H., Omar, M.A.: Recurrent stroke prediction using machine learning algorithms with clinical public datasets: an empirical performance evaluation. Baghdad Sci. J. 18, 1406 (2021)
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