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...
Saved in:
| Main Authors: | Matthew Wiens, Alissa Verone‐Boyle, Nick Henscheid, Jagdeep T. Podichetty, Jackson Burton |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
|
| Series: | Clinical and Translational Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/cts.70172 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing flood susceptibility mapping in Sana’a, Yemen with random forest and eXtreme gradient boosting algorithms
by: Yahia Alwathaf, et al.
Published: (2025-12-01) -
Distributed Photovoltaic Distribution Voltage Prediction Based on eXtreme Gradient Boosting and Time Convolutional Networks
by: Fang Yuan, et al.
Published: (2024-01-01) -
An interpretable predictive model for bank customers’ income using the eXtreme Gradient Boosting algorithm and the SHAP method: a case study of an Anonymous Chilean Bank
by: Patricio Salas, et al.
Published: (2024-12-01) -
Model-Aware XGBoost Method Towards Optimum Performance of Flexible Distributed Raman Amplifier
by: Anand Prakash, et al.
Published: (2023-01-01) -
Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations
by: Khaled Hamad, et al.
Published: (2025-06-01)