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 research paper published in Journal of Biomedical Informatics (2020). On theSindex it has a DataRank of 0. It has been cited 23 times.
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Department of Medicine, University of California, San Francisco
Grant: K12HS026383
Department of Medicine, University of California, San Francisco
Grant: KL2TR001870
Department of Medicine, University of California, San Francisco
Grant: P30DK092924
Department of Medicine, University of California, San Francisco
Grant: R01LM012355
Department of Medicine, University of California, San Francisco
Grant: R01LM013045
National Institutes of Health
Grant: 5K12HS026383-02
UCSF Learning Health System K12 Career Development Program
National Institutes of Health
Grant: 5R01LM012355-04
The Next Frontier in Diabetes Communication: Promoting Health Literacy in the Era of Secure Messaging
National Institutes of Health
Grant: 5P30DK092924-08
Health Delivery Systems Center for Diabetes Translational Research
National Institutes of Health
Grant: 2KL2TR001870-06
Institutional Career Development Core
National Institutes of Health
Grant: 1R01LM013045-01
Creating Community Driven, Personalized Health Maps for Patients with Diabetes
National Center for Advancing Translational Sciences
National Institute of Diabetes and Digestive and Kidney Diseases
U.S. National Library of Medicine
Agency for Healthcare Research and Quality
National Institutes of Health
FWCI
1.55
Citation Percentile
0.9%
Influential Citations
3
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals