Artificial Intelligence — Study on the Prognostic Prediction Model of Patients With Acute Intracerebral Hemorrhage by Artificial Intelligence
Citation(s)
Fu F, Sun S, Liu L, Gu H, Su Y, Li Y Iodine Sign as a Novel Predictor of Hematoma Expansion and Poor Outcomes in Primary Intracerebral Hemorrhage Patients. Stroke. 2018 Sep;49(9):2074-2080. doi: 10.1161/STROKEAHA.118.022017.
Guo R, Zhang R, Liu R, Liu Y, Li H, Ma L, He M, You C, Tian R Machine Learning-Based Approaches for Prediction of Patients' Functional Outcome and Mortality after Spontaneous Intracerebral Hemorrhage. J Pers Med. 2022 Jan 14;12(1). pii: 112. doi: 10.3390/jpm12010112.
Menon G, Johnson SE, Hegde A, Rathod S, Nayak R, Nair R Neutrophil to lymphocyte ratio - A novel prognostic marker following spontaneous intracerebral haemorrhage. Clin Neurol Neurosurg. 2021 Jan;200:106339. doi: 10.1016/j.clineuro.2020.106339. Epub 2020 Oct 28.
Morotti A, Arba F, Boulouis G, Charidimou A Noncontrast CT markers of intracerebral hemorrhage expansion and poor outcome: A meta-analysis. Neurology. 2020 Oct 6;95(14):632-643. doi: 10.1212/WNL.0000000000010660. Epub 2020 Aug 26.
Tseng WC, Wang YF, Wang TG, Hsiao MY Early spot sign is associated with functional outcomes in primary intracerebral hemorrhage survivors. BMC Neurol. 2021 Mar 20;21(1):131. doi: 10.1186/s12883-021-02146-3.
Wang J, Wang W, Liu Y, Zhao X Associations Between Levels of High-Sensitivity C-Reactive Protein and Outcome After Intracerebral Hemorrhage. Front Neurol. 2020 Oct 6;11:535068. doi: 10.3389/fneur.2020.535068. eCollection 2020.
Xie H, Ma S, Wang X, Zhang X Noncontrast computer tomography-based radiomics model for predicting intracerebral hemorrhage expansion: preliminary findings and comparison with conventional radiological model. Eur Radiol. 2020 Jan;30(1):87-98. doi: 10.1007/s00330-019-06378-3. Epub 2019 Aug 5.
Capital's Funds for Health Improvement and Research
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