William Brown III, Renu Balyan, Andrew J. Karter, Scott A. Crossley, Wagahta Semere, Nicholas D. Duran, Courtney R. Lyles, Jennifer Y. Liu, Howard H. Moffet, Ryane Daniels, Danielle S. McNamara, Dean Schillinger. Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE study. Journal of Biomedical Informatics, 113:103658, 2021. [doi]
@article{BrownBKCSDLLMDM21,
title = {Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE study},
author = {William Brown III and Renu Balyan and Andrew J. Karter and Scott A. Crossley and Wagahta Semere and Nicholas D. Duran and Courtney R. Lyles and Jennifer Y. Liu and Howard H. Moffet and Ryane Daniels and Danielle S. McNamara and Dean Schillinger},
year = {2021},
doi = {10.1016/j.jbi.2020.103658},
url = {https://doi.org/10.1016/j.jbi.2020.103658},
researchr = {https://researchr.org/publication/BrownBKCSDLLMDM21},
cites = {0},
citedby = {0},
journal = {Journal of Biomedical Informatics},
volume = {113},
pages = {103658},
}