Mehrpour, O., Saeedi, F., Vohra, V., Abdollahi, J., Shirazi, F. M., & Goss, F. (2023). The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14 000 patients in the United States. Basic & Clinical Pharmacology & Toxicology, 133(1), 98-110. https://doi.org/10.1111/bcpt.13865

MEHRPOUR, Omid, SAEEDI, Farhad, VOHRA, Varun, ABDOLLAHI, Jafar, SHIRAZI, Farshad M. and GOSS, Foster, 2023. The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14 000 patients in the United States. Basic & Clinical Pharmacology & Toxicology. 1 July 2023. Vol. 133, no. 1, p. 98-110. DOI 10.1111/bcpt.13865.

Mehrpour, O., F. Saeedi, V. Vohra, J. Abdollahi, F. M. Shirazi, and F. Goss. “The Role of Decision Tree and Machine Learning Models for Outcome Prediction of Bupropion Exposure: A Nationwide Analysis of More Than 14 000 Patients in the United States.”. Basic & Clinical Pharmacology & Toxicology, vol. 133, no. 1, July 2023, pp. 98-110, https://doi.org/10.1111/bcpt.13865.

Mehrpour, Omid/Saeedi, Farhad/Vohra, Varun/Abdollahi, Jafar/Shirazi, Farshad M./Goss, Foster: The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14 000 patients in the United States., Basic & Clinical Pharmacology & Toxicology 2023, 98-110.

Mehrpour, O., Saeedi, F., Vohra, V., Abdollahi, J., Shirazi, F.M. and Goss, F. (2023), “The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14 000 patients in the United States.”, Basic & Clinical Pharmacology & Toxicology, Vol. 133 No. 1, pp. 98-110.