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Prediction of Long-Term Poor Clinical Outcomes in Cerebral Venous Thrombosis Using Neural Networks Model: The BEAST Study.

Redoy RanjanGie Ken-DrorPankaj Sharmanull null
Published in: International journal of general medicine (2024)
Cerebral haemorrhage and thrombolysis was a strong independent predictor, whereas age merely impacts the long-term poor clinical outcome in adult CVT. Integrating unorthodox neural networks risk prediction model can improve decision-making as it outperforms conventional logistic regression with complex datasets.
Keyphrases
  • neural network
  • decision making
  • subarachnoid hemorrhage
  • pulmonary embolism
  • cerebral ischemia
  • acute ischemic stroke
  • rna seq
  • cerebral blood flow
  • young adults
  • single cell