Paul, T.; Islam, H.; Singh, N.; Jampani, Y.; Kotapati, T.V.P.; Tautam, P.A.; Rana, M.K.Z.; Mandhadi, V.; Sharma, V.; Barnes, M.;
et al. Utility of Features in a Natural-Language-Processing-Based Clinical De-Identification Model Using Radiology Reports for Advanced NSCLC Patients. Appl. Sci. 2022, 12, 9976.
https://doi.org/10.3390/app12199976
AMA Style
Paul T, Islam H, Singh N, Jampani Y, Kotapati TVP, Tautam PA, Rana MKZ, Mandhadi V, Sharma V, Barnes M,
et al. Utility of Features in a Natural-Language-Processing-Based Clinical De-Identification Model Using Radiology Reports for Advanced NSCLC Patients. Applied Sciences. 2022; 12(19):9976.
https://doi.org/10.3390/app12199976
Chicago/Turabian Style
Paul, Tanmoy, Humayera Islam, Nitesh Singh, Yaswitha Jampani, Teja Venkat Pavan Kotapati, Preethi Aishwarya Tautam, Md Kamruz Zaman Rana, Vasanthi Mandhadi, Vishakha Sharma, Michael Barnes,
and et al. 2022. "Utility of Features in a Natural-Language-Processing-Based Clinical De-Identification Model Using Radiology Reports for Advanced NSCLC Patients" Applied Sciences 12, no. 19: 9976.
https://doi.org/10.3390/app12199976
APA Style
Paul, T., Islam, H., Singh, N., Jampani, Y., Kotapati, T. V. P., Tautam, P. A., Rana, M. K. Z., Mandhadi, V., Sharma, V., Barnes, M., Hammer, R. D., & Mosa, A. S. M.
(2022). Utility of Features in a Natural-Language-Processing-Based Clinical De-Identification Model Using Radiology Reports for Advanced NSCLC Patients. Applied Sciences, 12(19), 9976.
https://doi.org/10.3390/app12199976