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Total 234 results found since Jan 2013.
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
Early neurological deterioration in acute ischemic stroke
ConclusionOur study showed END may be associated with poor functional outcome in AIS patients. Higher blood glucose at admission and low serum albumin may be statistically significant causing END. Future prospective cohort with larger sample size may confirm the findings.
Source: Irish Journal of Medical Science - August 10, 2023 Category: General Medicine Source Type: research
Prognostic prediction of thrombolytic therapy with rt-PA in acute ischemic stroke patients using an artificial intelligence model
CONCLUSIONS: ANN model is as effective as a logistic regression model in predicting the prognosis of AIS after thrombolytic therapy with rt-PA. Moreover, ANN is slightly superior to logistic regression in accuracy, precision and F1 score.PMID:37560207 | PMC:PMC10408517
Source: American Journal of Translational Research - August 10, 2023 Category: Research Authors: Miao Chen Liya Zhou Limin Fan Yanhong Li Hairong Wang Source Type: research
