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

JMIR Theme Issue: COVID-19 Special Issue (2391) Electronic Health Records (966) Natural Language Processing (644) Machine Learning (1385) Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1137) New Methods (909)

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 .
Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of Patient Voice

Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of Patient Voice

Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of Patient Voice

Authors of this article:

Paul J Barr1, 2 Author Orcid Image ;   James Ryan3 Author Orcid Image ;   Nicholas C Jacobson2, 4, 5 Author Orcid Image
Article Authors Cited by (8) Tweetations (6) Metrics

Journals

  1. 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
  2. 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
  3. 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
  4. 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
  5. Alshahrani S, Khan N. COVID-19 advising application development for Apple devices (iOS). PeerJ Computer Science 2023;9:e1274 View
  6. 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

Books/Policy Documents

  1. Vavougios G, Zarogiannis S, Gourgoulianis K. Omics approaches and technologies in COVID-19. View