Cita APA (7a ed.)
Harris, J. D. (2024). Editorial Commentary: Artificial Intelligence Analysis of Biomedical, Large, Clinical Registry Data Using Machine Learning Requires Tens of Thousands of Subjects and a Focus on Substantial Clinical Benefit: Minimal Clinically Important Difference Is too Low a Bar. Arthroscopy: The Journal of Arthroscopy & Related Surgery, 40(4), 1164-1168.
Cita Chicago Style (17a ed.)
Harris, Joshua D. "Editorial Commentary: Artificial Intelligence Analysis of Biomedical, Large, Clinical Registry Data Using Machine Learning Requires Tens of Thousands of Subjects and a Focus on Substantial Clinical Benefit: Minimal Clinically Important Difference Is Too Low a Bar." Arthroscopy: The Journal of Arthroscopy & Related Surgery 40, no. 4 (2024): 1164-1168.
Cita MLA (9a ed.)
Harris, Joshua D. "Editorial Commentary: Artificial Intelligence Analysis of Biomedical, Large, Clinical Registry Data Using Machine Learning Requires Tens of Thousands of Subjects and a Focus on Substantial Clinical Benefit: Minimal Clinically Important Difference Is Too Low a Bar." Arthroscopy: The Journal of Arthroscopy & Related Surgery, vol. 40, no. 4, 2024, pp. 1164-1168.
Precaución: Estas citas no son 100% exactas.