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Using artificial neural network, support vector machine and random forest to predict anti-tuberculosis drug induced hepatotoxicity
- In: Poster presentation
- At: Seoul (South Korea) (2017)
- Type: Poster
- Poster code: POS-PPR-002
- 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 if available the presentation file is available to FIP members and to congress participants of that specific congress.
Last update 4 October 2019