APA (7th ed.) Citation

Shaw, H., Chambers, P., Watson, M., Steventon, L., King, J. H., Ercia, A., & Moubayed, N. A. From prediction to practice: Mitigating bias and data shift in machine-learning models for chemotherapy-induced organ dysfunction across unseen cancers. BMJ Publishing Group.

Chicago Style (17th ed.) Citation

Shaw, Heather, Pinkie Chambers, Matthew Watson, Luke Steventon, James Harmsworth King, Angelo Ercia, and Noura Al Moubayed. From Prediction to Practice: Mitigating Bias and Data Shift in Machine-learning Models for Chemotherapy-induced Organ Dysfunction Across Unseen Cancers. BMJ Publishing Group.

MLA (9th ed.) Citation

Shaw, Heather, et al. From Prediction to Practice: Mitigating Bias and Data Shift in Machine-learning Models for Chemotherapy-induced Organ Dysfunction Across Unseen Cancers. BMJ Publishing Group.