Jacobs, M., Pradier, M. F., McCoy, T. H., Perlis, R. H., Doshi-Velez, F., & Gajos, K. Z. (2021). How machine-learning recommendations influence clinician treatment selections: The example of antidepressant selection. Translational psychiatry, 11(1), 108-9. https://doi.org/10.1038/s41398-021-01224-x
Chicago Style (17th ed.) CitationJacobs, Maia, Melanie F. Pradier, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, and Krzysztof Z. Gajos. "How Machine-learning Recommendations Influence Clinician Treatment Selections: The Example of Antidepressant Selection." Translational Psychiatry 11, no. 1 (2021): 108-9. https://doi.org/10.1038/s41398-021-01224-x.
MLA (9th ed.) CitationJacobs, Maia, et al. "How Machine-learning Recommendations Influence Clinician Treatment Selections: The Example of Antidepressant Selection." Translational Psychiatry, vol. 11, no. 1, 2021, pp. 108-9, https://doi.org/10.1038/s41398-021-01224-x.