APA (7th ed.) Citation

Paul, T., Rana, M. K. Z., Tautam, P. A., Kotapati, T. V. P., Jampani, Y., Singh, N., . . . Mosa, A. S. M. (2022). Investigation of the Utility of Features in a Clinical De-identification Model: A Demonstration Using EHR Pathology Reports for Advanced NSCLC Patients. Frontiers in digital health, 4, 728922. https://doi.org/10.3389/fdgth.2022.728922

Chicago Style (17th ed.) Citation

Paul, Tanmoy, et al. "Investigation of the Utility of Features in a Clinical De-identification Model: A Demonstration Using EHR Pathology Reports for Advanced NSCLC Patients." Frontiers in Digital Health 4 (2022): 728922. https://doi.org/10.3389/fdgth.2022.728922.

MLA (9th ed.) Citation

Paul, Tanmoy, et al. "Investigation of the Utility of Features in a Clinical De-identification Model: A Demonstration Using EHR Pathology Reports for Advanced NSCLC Patients." Frontiers in Digital Health, vol. 4, 2022, p. 728922, https://doi.org/10.3389/fdgth.2022.728922.