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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Clinical and translational science Jg. 18; H. 3; S. e70172 - n/a
Hauptverfasser:	Wiens, Matthew, Verone‐Boyle, Alissa, Henscheid, Nick, Podichetty, Jagdeep T., Burton, Jackson
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States John Wiley & Sons, Inc 01.03.2025 John Wiley and Sons Inc Wiley
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!