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Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
Research article (Journal of Biomedical Informatics, 2020) · cited 21× · AI/ML
Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
Summary
Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study is a scholarly article[1].
Key Facts
Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study. Retrieved May 24, 2026, from https://4ort.xyz/entity/challenges-and-solutions-to-employing-natural-language-processing-and-machine-learning-to-measure-patients-health-litera
MLA“Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/challenges-and-solutions-to-employing-natural-language-processing-and-machine-learning-to-measure-patients-health-litera.
BibTeX@misc{4ortxyz_challenges-and-solutions-to-employing-natural-language-processing-and-machine-learning-to-measure-patients-health-litera_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study}}, year = {2026}, url = {https://4ort.xyz/entity/challenges-and-solutions-to-employing-natural-language-processing-and-machine-learning-to-measure-patients-health-litera}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study — https://4ort.xyz/entity/challenges-and-solutions-to-employing-natural-language-processing-and-machine-learning-to-measure-patients-health-litera (retrieved 2026-05-24)
