This paper is in the following e-collection/theme issue:

Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers (17) Natural Language Processing (706) Decision Support for Health Professionals (1210) Machine Learning (1501)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18756, first published .
Measuring Adoption of Patient Priorities–Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model

Measuring Adoption of Patient Priorities–Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model

Measuring Adoption of Patient Priorities–Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model

Authors of this article:

Javad Razjouyan1, 2, 3 Author Orcid Image ;   Jennifer Freytag1 Author Orcid Image ;   Lilian Dindo1, 2 Author Orcid Image ;   Lea Kiefer1 Author Orcid Image ;   Edward Odom1 Author Orcid Image ;   Jaime Halaszynski4, 5, 6 Author Orcid Image ;   Jennifer W Silva5, 6 Author Orcid Image ;   Aanand D Naik1, 2, 3, 7 Author Orcid Image
Article Authors Cited by (3) Tweetations (14) Metrics

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  2. Maghsoudi A, Nowakowski S, Agrawal R, Sharafkhaneh A, Kunik M, Naik A, Xu H, Razjouyan J. Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study. Journal of Medical Internet Research 2022;24(12):e41517 View
  3. Samper-Ternent R, Razjouyan J, Dindo L, Halaszynski J, Silva J, Fried T, Naik A. Patient Priorities Care Increases Long-Term Service and Support Use: Propensity Match Cohort Study. Journal of the American Medical Directors Association 2024;25(5):751 View