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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.
Brown W 3rd, Balyan R, Karter AJ, Crossley S, Semere W, Duran ND, Lyles C, Liu J, Moffet HH, Daniels R, McNamara DS, Schillinger D. Brown W 3rd, et al. Among authors: schillinger d. J Biomed Inform. 2021 Jan;113:103658. doi: 10.1016/j.jbi.2020.103658. Epub 2020 Dec 11. J Biomed Inform. 2021. PMID: 33316421 Free PMC article.
Cohort Profile: The Diabetes Study of Northern California (DISTANCE)--objectives and design of a survey follow-up study of social health disparities in a managed care population.
Moffet HH, Adler N, Schillinger D, Ahmed AT, Laraia B, Selby JV, Neugebauer R, Liu JY, Parker MM, Warton M, Karter AJ. Moffet HH, et al. Among authors: schillinger d. Int J Epidemiol. 2009 Feb;38(1):38-47. doi: 10.1093/ije/dyn040. Epub 2008 Mar 7. Int J Epidemiol. 2009. PMID: 18326513 Free PMC article. No abstract available.
Language barriers, physician-patient language concordance, and glycemic control among insured Latinos with diabetes: the Diabetes Study of Northern California (DISTANCE).
Fernandez A, Schillinger D, Warton EM, Adler N, Moffet HH, Schenker Y, Salgado MV, Ahmed A, Karter AJ. Fernandez A, et al. Among authors: schillinger d. J Gen Intern Med. 2011 Feb;26(2):170-6. doi: 10.1007/s11606-010-1507-6. Epub 2010 Sep 29. J Gen Intern Med. 2011. PMID: 20878497 Free PMC article. Clinical Trial.
359 results