Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Journal: Computer methods and programs in biomedicine
Published Date: May 1, 2020

Abstract

BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.

Authors

  • Nai-Hua Lai
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
  • Wan-Chen Shen
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
  • Chun-Nin Lee
    Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, New Taipei City, Taiwan. School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
  • Jui-Chia Chang
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
  • Man-Ching Hsu
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
  • Li-Na Kuo
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
  • Ming-Chih Yu
    Department of Medicine, School of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Pulmonary Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
  • Hsiang-Yin Chen
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: shawn@tmu.edu.tw.

Keywords

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