Sadiq, I. Z., Abubakar, F. S., Saliu, M. A., katsayal, B. S., Salihu, A., & Muhammad, A. (2025). Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression. Bulletin of the National Research Centre, 49(1). https://doi.org/10.1186/s42269-024-01295-y

SADIQ, Idris Zubairu, ABUBAKAR, Fatima Sadiq, SALIU, Muhammad Auwal, KATSAYAL, Babangida Sanusi, SALIHU, Aliyu und MUHAMMAD, Aliyu, 2025. Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression. Bulletin of the National Research Centre. 1 Dezember 2025. Vol. 49, no. 1, . DOI 10.1186/s42269-024-01295-y.

Sadiq, I. Z., F. S. Abubakar, M. A. Saliu, B. S. katsayal, A. Salihu, und A. Muhammad. „Machine Learning Algorithms for Predictive Modeling of Dyslipidemia-Associated Cardiovascular Disease Risk in Pregnancy: A Comparison of Boosting, Random Forest, and Decision Tree Regression“. Bulletin of the National Research Centre, Bd. 49, Nr. 1, Dezember 2025, https://doi.org/10.1186/s42269-024-01295-y.

Sadiq, Idris Zubairu/Abubakar, Fatima Sadiq/Saliu, Muhammad Auwal/katsayal, Babangida Sanusi/Salihu, Aliyu/Muhammad, Aliyu: Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression, Bulletin of the National Research Centre 2025,

Sadiq, I.Z., Abubakar, F.S., Saliu, M.A., katsayal, B.S., Salihu, A. und Muhammad, A. (2025), „Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression“, Bulletin of the National Research Centre, Vol. 49 No. 1, verfügbar unter:https://doi.org/10.1186/s42269-024-01295-y.