A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications

ABSTRACT Approaches to artificial intelligence and machine learning (AI/ML) continue to advance in the field of drug development. A sound understanding of the underlying concepts and guiding principles of AI/ML implementation is a prerequisite to identifying which AI/ML approach is most appropriate...

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Vydané v:	Clinical and translational science Ročník 18; číslo 3; s. e70172 - n/a
Hlavní autori:	Wiens, Matthew, Verone‐Boyle, Alissa, Henscheid, Nick, Podichetty, Jagdeep T., Burton, Jackson
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States John Wiley & Sons, Inc 01.03.2025 John Wiley and Sons Inc Wiley
Predmet:	Algorithms Artificial Intelligence Artificial Intelligence and Machine Learning boosting Boosting Machine Learning Algorithms Classification Clinical trials Clinical Trials as Topic Datasets Decision trees Drug development Drug Development - methods Flexibility Humans Machine Learning Neural networks Online tutorials quantitative clinical pharmacology Regression analysis Software Tutorial XGBoost quantitative clinical pharmacology boosting machine learning XGBoost
ISSN:	1752-8054, 1752-8062, 1752-8062
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