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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
BackgroundThe 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.
PurposeThe primary purpose of the.. The access to the whole abstract and the presentation file is available to FIP members and to congress participants of that specific congress.
Last update 4 October 2019