Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45767, first published .
Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Journals

  1. Yakimovich A, Imperiale M. Toward the novel AI tasks in infection biology. mSphere 2024;9(2) View
  2. Mayo N, Hum S, Matout M, Fellows L, Brouillette M. Portrait of mental health identified by people with the post-covid syndrome. Quality of Life Research 2024;33(9):2509 View
  3. Mfouth Kemajou P, Mbanya A, Coppieters Y. Digital approaches in post-COVID healthcare: a systematic review of technological innovations in disease management. Biology Methods and Protocols 2024;9(1) View
  4. Scherbakov D, Hubig N, Lenert L, Alekseyenko A, Obeid J. Natural Language Processing and Social Determinants of Health in Mental Health Research: An Artificial Intelligence-Assisted Scoping Review (Preprint). JMIR Mental Health 2024 View