ISO-690 (author-date, English)

Brown W 3 rd, BALYAN R, KARTER AJ, CROSSLEY S, SEMERE W, DURAN ND, LYLES C, LIU J, MOFFET HH, DANIELS R, MCNAMARA DS und SCHILLINGER D, 2021. 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. 1 Januar 2021. Vol. 113, , p. 103658-103658. DOI 10.1016/j.jbi.2020.103658.

Elsevier - Harvard (with titles)

Brown W 3 rd, Balyan R, Karter AJ, Crossley S, Semere W, Duran ND, Lyles C, Liu J, Moffet HH, Daniels R, Mc Namara DS, Schillinger D, 2021. 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, 103658-103658. https://doi.org/10.1016/j.jbi.2020.103658

American Psychological Association 7th edition

Brown W 3 rd, Balyan R, Karter AJ, Crossley S, Semere W, Duran ND, Lyles C, Liu J, Moffet HH, Daniels R, Mc Namara DS, & Schillinger D. (2021). 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, 103658-103658. https://doi.org/10.1016/j.jbi.2020.103658

Springer - Basic (author-date)

Brown W 3 rd, Balyan R, Karter AJ, Crossley S, Semere W, Duran ND, Lyles C, Liu J, Moffet HH, Daniels R, Mc Namara DS, Schillinger D (2021) 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 113:103658-103658. https://doi.org/10.1016/j.jbi.2020.103658

Juristische Zitierweise (Stüber) (Deutsch)

Brown W 3 rd/ Balyan R/ Karter AJ/ Crossley S/ Semere W/ Duran ND/ Lyles C/ Liu J/ Moffet HH/ Daniels R/ Mc Namara DS/ Schillinger D, 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 2021, 103658-103658.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.