Crossley SA - Search Results

1

Precision communication: Physicians' linguistic adaptation to patients' health literacy.

Schillinger D, Duran ND, McNamara DS, Crossley SA, Balyan R, Karter AJ. Schillinger D, et al. Among authors: crossley sa. Sci Adv. 2021 Dec 17;7(51):eabj2836. doi: 10.1126/sciadv.abj2836. Epub 2021 Dec 17. Sci Adv. 2021. PMID: 34919437 Free PMC article.

2

Natural language processing in an intelligent writing strategy tutoring system.

McNamara DS, Crossley SA, Roscoe R. McNamara DS, et al. Among authors: crossley sa. Behav Res Methods. 2013 Jun;45(2):499-515. doi: 10.3758/s13428-012-0258-1. Behav Res Methods. 2013. PMID: 23055164

3

The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion.

Crossley SA, Kyle K, McNamara DS. Crossley SA, et al. Behav Res Methods. 2016 Dec;48(4):1227-1237. doi: 10.3758/s13428-015-0651-7. Behav Res Methods. 2016. PMID: 26416138

4

Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis.

Crossley SA, Kyle K, McNamara DS. Crossley SA, et al. Behav Res Methods. 2017 Jun;49(3):803-821. doi: 10.3758/s13428-016-0743-z. Behav Res Methods. 2017. PMID: 27193159

5

The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.

Schillinger D, McNamara D, Crossley S, Lyles C, Moffet HH, Sarkar U, Duran N, Allen J, Liu J, Oryn D, Ratanawongsa N, Karter AJ. Schillinger D, et al. J Diabetes Res. 2017;2017:1348242. doi: 10.1155/2017/1348242. Epub 2017 Feb 7. J Diabetes Res. 2017. PMID: 28265579 Free PMC article. Review.

6

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

Balyan R, Crossley SA, Brown W 3rd, Karter AJ, McNamara DS, Liu JY, Lyles CR, Schillinger D. Balyan R, et al. Among authors: crossley sa. PLoS One. 2019 Feb 22;14(2):e0212488. doi: 10.1371/journal.pone.0212488. eCollection 2019. PLoS One. 2019. PMID: 30794616 Free PMC article.

7

Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study.

Semere W, Crossley S, Karter AJ, Lyles CR, Brown W 3rd, Reed M, McNamara DS, Liu JY, Schillinger D. Semere W, et al. J Gen Intern Med. 2019 Nov;34(11):2490-2496. doi: 10.1007/s11606-019-05259-1. Epub 2019 Aug 19. J Gen Intern Med. 2019. PMID: 31428986 Free PMC article.

8

Developing and Testing Automatic Models of Patient Communicative Health Literacy Using Linguistic Features: Findings from the ECLIPPSE study.

Crossley SA, Balyan R, Liu J, Karter AJ, McNamara D, Schillinger D. Crossley SA, et al. Health Commun. 2021 Jul;36(8):1018-1028. doi: 10.1080/10410236.2020.1731781. Epub 2020 Mar 2. Health Commun. 2021. PMID: 32114833 Free PMC article.

9

Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study.

Schillinger D, Balyan R, Crossley SA, McNamara DS, Liu JY, Karter AJ. Schillinger D, et al. Among authors: crossley sa. Health Serv Res. 2021 Feb;56(1):132-144. doi: 10.1111/1475-6773.13560. Epub 2020 Sep 23. Health Serv Res. 2021. PMID: 32966630 Free PMC article.

10

Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study.

Cemballi AG, Karter AJ, Schillinger D, Liu JY, McNamara DS, Brown W, Crossley S, Semere W, Reed M, Allen J, Lyles CR. Cemballi AG, et al. J Am Med Inform Assoc. 2021 Jun 12;28(6):1252-1258. doi: 10.1093/jamia/ocaa281. J Am Med Inform Assoc. 2021. PMID: 33236117 Free PMC article.

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