APA (7th ed.) Citation

Moore, A., & Bell, M. (2022). XGBoost, A Novel Explainable AI Technique, in the Prediction of Myocardial Infarction: A UK Biobank Cohort Study. Clinical Medicine Insights. Cardiology, 16, 11795468221133611. https://doi.org/10.1177/11795468221133611

Chicago Style (17th ed.) Citation

Moore, Alexander, and Max Bell. "XGBoost, A Novel Explainable AI Technique, in the Prediction of Myocardial Infarction: A UK Biobank Cohort Study." Clinical Medicine Insights. Cardiology 16 (2022): 11795468221133611. https://doi.org/10.1177/11795468221133611.

MLA (9th ed.) Citation

Moore, Alexander, and Max Bell. "XGBoost, A Novel Explainable AI Technique, in the Prediction of Myocardial Infarction: A UK Biobank Cohort Study." Clinical Medicine Insights. Cardiology, vol. 16, 2022, p. 11795468221133611, https://doi.org/10.1177/11795468221133611.

Warning: These citations may not always be 100% accurate.