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Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study

Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study

(D) Comparison of the likelihood of posting negative tweets before midnight (1 PM to midnight) and after midnight (1 AM to noon) for the prepandemic and peripandemic periods. In this retrospective cohort study, we showed that NLP tools can monitor population health by using the sentiments expressed on a publicly available platform, such as Twitter, as a surrogate measure of public awareness and perception.

Arash Maghsoudi, Sara Nowakowski, Ritwick Agrawal, Amir Sharafkhaneh, Mark E Kunik, Aanand D Naik, Hua Xu, Javad Razjouyan

J Med Internet Res 2022;24(12):e41517

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

Process of developing the natural language processing (NLP) algorithm: (A) retrieving 106,505 notes from trained social workers after the first training workshop; (B) searching notes for existence of 2 expressions “goal” and “value,” which resulted into 778 notes; (C) review and resolution of disagreements; (D) labeling of notes as yes-Patient Priorities Care (PPC; 1) or no-PPC (0); (E) development of NLP algorithm.

Javad Razjouyan, Jennifer Freytag, Lilian Dindo, Lea Kiefer, Edward Odom, Jaime Halaszynski, Jennifer W Silva, Aanand D Naik

JMIR Med Inform 2021;9(2):e18756