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A prognostic model for interventional thrombectomy in patients with acute ischemic stroke based on a BP neural network, random forest model and decision tree model
CONCLUSION: The three prediction models have shown good diagnostic efficacy and stability in the preliminary study of the prognosis of AIS mediated thrombectomy, which has important guiding significance for clinical prognosis assessment and selection of appropriate surgical population. The prediction model can be selected according to the actual situation of patients to provide more efficient guidance for clinicians.PMID:37303675 | PMC:PMC10250994
Source: American Journal of Translational Research - June 12, 2023 Category: Research Authors: Senlin Zhou Jiajun Wei Lairong Tang Caimian Gu Jiong Liang Source Type: research
