iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms.
Xiao-Wei LiuTian-Yu ShiDong GaoCai-Yi MaHao LinDan YanKe-Jun DengPublished in: J. Chem. Inf. Model. (2023)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- machine learning
- predictive accuracy
- decision trees
- learning problems
- machine learning methods
- machine learning approaches
- learning tasks
- input features
- machine learning models
- learning models
- machine learning systems
- random forests
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- standard machine learning algorithms
- pharmaceutical industry