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Impact Exploration of Spatiotemporal Feature Derivation and Selection on Machine Learning-Based Predictive Models for Post-Embolization Cerebral Aneurysm Recanalization.

Jing LiaoKouichi MisakiJiro Sakamoto
Published in: Cardiovascular engineering and technology (2024)
Our study demonstrated the importance of feature derivation and selection in determining the performance of ML models. This enabled the development of accurate decision-making models without the need to invade the patient.
Keyphrases
  • machine learning
  • decision making
  • deep learning
  • artificial intelligence
  • subarachnoid hemorrhage
  • big data
  • case report
  • middle cerebral artery
  • mass spectrometry