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Using artificial neural network, support vector machine and random forest to predict anti-tuberculosis drug induced hepatotoxicity

  • At: 2017 FIP Congress in Seoul (South Korea)
  • Type: Poster
  • By: CHEN, Hsiang-Yin (Taipei Medical University, Department of Clinical Pharmacy School of Pharmacy, China Taiwan)
  • Co-author(s): Nai-Hua Lai
    Jui-Chia Chang
    Wan-Chen Shen
    Yen-Ying Lee
    Hsiang-Yin Chen
  • Abstract:

    Background

     The current study is to predict anti-tuberculosis drugs induced hepatotoxicity by using artificial neural network (ANN), support vector machine (SVM) and random forest (RF). The three tools are bioprospecting techniques currently applied to many complex and non-liner issues with good predictive rate.

    Purpose

    The primary purpose of the..

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Last update 4 October 2019

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