Published on in Vol 23, No 2 (2021): February
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/20545, first published
.
Journals
- Al-Garadi M, Yang Y, Sarker A. The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges. Healthcare 2022;10(11):2270 View
- Sarmiento L, Villamizar S, López O, Collazos A, Sarmiento J, Rodríguez J. Recognition of EEG Signals from Imagined Vowels Using Deep Learning Methods. Sensors 2021;21(19):6503 View
- DeSouza D, Robin J, Gumus M, Yeung A. Natural Language Processing as an Emerging Tool to Detect Late-Life Depression. Frontiers in Psychiatry 2021;12 View
- Dang T, Han J, Xia T, Spathis D, Bondareva E, Siegele-Brown C, Chauhan J, Grammenos A, Hasthanasombat A, Floto R, Cicuta P, Mascolo C. Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation. Journal of Medical Internet Research 2022;24(6):e37004 View
- Alshahrani S, Khan N. COVID-19 advising application development for Apple devices (iOS). PeerJ Computer Science 2023;9:e1274 View
- Wilcox L, Brewer R, Diaz F. AI Consent Futures: A Case Study on Voice Data Collection with Clinicians. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View
- Jerfy A, Selden O, Balkrishnan R. The Growing Impact of Natural Language Processing in Healthcare and Public Health. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
Books/Policy Documents
- Vavougios G, Zarogiannis S, Gourgoulianis K. Omics approaches and technologies in COVID-19. View