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

JMIR Theme Issue: COVID-19 Special Issue (2554) Theme Issue 2022: Chatbots and COVID-19 (42) Clinical Information and Decision Making (1915) Machine Learning (2076) Artificial Intelligence (2129) New Methods (1134)

Published on in Vol 25 (2023)

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44804, first published .
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

Authors of this article:

Jing Han1 Author Orcid Image ;   Marco Montagna2 Author Orcid Image ;   Andreas Grammenos1 Author Orcid Image ;   Tong Xia1 Author Orcid Image ;   Erika Bondareva1 Author Orcid Image ;   Chloë Siegele-Brown3 Author Orcid Image ;   Jagmohan Chauhan3 Author Orcid Image ;   Ting Dang1 Author Orcid Image ;   Dimitris Spathis1 Author Orcid Image ;   R Andres Floto4 Author Orcid Image ;   Pietro Cicuta5 Author Orcid Image ;   Cecilia Mascolo1 Author Orcid Image
Article Authors Cited by (5) Tweetations (7) Metrics

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  1. Arnold V, Purnat T, Marten R, Pattison A, Gouda H. Chatbots and COVID-19: Taking Stock of the Lessons Learned. Journal of Medical Internet Research 2024;26:e54840 View
  2. Drissi N, El-Kassabi H, Serhani M. A multi-criteria decision analysis framework for evaluating deep learning models in healthcare research. Decision Analytics Journal 2024;13:100523 View
  3. Boratto T, Costa G, Meireles A, Alves A, Saporetti C, Bodini M, Cury A, Goliatt L. Machine Learning with Evolutionary Parameter Tuning for Singing Registers Classification. Signals 2025;6(1):9 View
  4. Zaben S, Zainon W, Sabry A. Machine learning-based methods for detecting respiratory abnormalities using audio and visual analysis: A review. Results in Engineering 2025;26:104744 View
  5. Mascolo C. AI on Wearable Sensing Data for Human Health and Fitness. Computer 2025;58(10):102 View