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

Wearables and MHealth Reviews (259) JMIR Theme Issue: COVID-19 Special Issue (2391) mHealth for Diagnosis (50) Theme Issue: Apps for COVID-19 (#Apps4Covid) (133) Artificial Intelligence (1198) Digital Health Reviews (1186) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309) Surveillance Systems (428) Mobile Health (mhealth) (2765) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) mHealth for Data Collection and Research (914)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44406, first published .
Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review

Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review

Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review

Authors of this article:

Mehdi Gheisari1, 2 Author Orcid Image ;   Mustafa Ghaderzadeh3 Author Orcid Image ;   Huxiong Li1 Author Orcid Image ;   Tania Taami4 Author Orcid Image ;   Christian Fernández-Campusano5 Author Orcid Image ;   Hamidreza Sadeghsalehi6 Author Orcid Image ;   Aaqif Afzaal Abbasi7 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Suresh Kumar K, Radha Mani A, Ananth Kumar T, Jalili A, Gheisari M, Malik Y, Chen H, Jahangir Moshayedi A. Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification. Applied Artificial Intelligence 2024;38(1) View
  2. Shobayo O, Saatchi R, Ramlakhan S. Convolutional Neural Network to Classify Infrared Thermal Images of Fractured Wrists in Pediatrics. Healthcare 2024;12(10):994 View
  3. Hossainpour H, Mahmoudi H. Revolutionizing Microbial Infection Diagnosis: The Role of Artificial Intelligence. Iranian Journal of Medical Microbiology 2024;18(2):66 View