Prediction of persistent hemodynamic depression after carotid angioplasty and stenting using artificial neural network model.

Journal: Clinical neurology and neurosurgery
PMID: 29223792

Abstract

OBJECTIVES: To assess and compare predictive factors for persistent hemodynamic depression (PHD) after carotid artery angioplasty and stenting (CAS) using artificial neural network (ANN) and multiple logistic regression (MLR) or support vector machines (SVM) models.

Authors

  • Jin Pyeong Jeon
    Department of Neurosurgery, Hallym University College of Medicine, Chuncheon-si, Korea; Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon-si, Korea.
  • Chulho Kim
    Department of Neurology, Hallym University College of Medicine, Chuncheon-si, Korea. Electronic address: gumdol52@hallym.or.kr.
  • Byoung-Doo Oh
    Department of Convergence Software, Hallym University, Chuncheon-si, Korea.
  • Sun Jeong Kim
    Department of Convergence Software, Hallym University, Chuncheon-si, Korea.
  • Yu-Seop Kim
    Department of Convergence Software, Hallym University, Chuncheon-si, Korea. Electronic address: yskim01@hallym.ac.kr.

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