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Comparison of LASSO and random forest models for predicting the risk of premature coronary artery disease.

Jiayu WangYikang XuLei LiuWei WuChunjian ShenHenan HuangZiyi ZhenJixian MengChunjing LiZhixin QuQinglei HeYu Tian
Published in: BMC Medical Informatics Decis. Mak. (2023)
Keyphrases
  • random forest
  • model selection
  • coronary artery disease
  • decision trees
  • training set
  • active learning
  • computer vision
  • training data
  • ensemble methods