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

Chronic Conditions (436) JMIR Theme Issue: COVID-19 Special Issue (2555) Digital Health Meta-Research and Bibliographic Studies (59) Bibliography (4) Cardiology (225) Reviews on Cardiovascular Health and Medicine (32) Reviews (135)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55699, first published .
Cardiovascular Comorbidities in COVID-19: Comprehensive Analysis of Key Topics

Cardiovascular Comorbidities in COVID-19: Comprehensive Analysis of Key Topics

Cardiovascular Comorbidities in COVID-19: Comprehensive Analysis of Key Topics

Authors of this article:

Rene Markovič1, 2 Author Orcid Image ;   Luka Ternar3 Author Orcid Image ;   Tim Trstenjak3 Author Orcid Image ;   Marko Marhl1, 3, 4 Author Orcid Image ;   Vladimir Grubelnik2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Kumar H, Pushpa C, Thriveni J, Venugopal K. Holistic AI-Based Prediction Model for COVID-19 Drug Efficacy in Patients with Comorbidities. SN Computer Science 2024;5(8) View
  2. Mechnine A, Saih A, Wakrim L, Aarab A. In Silico Analysis and Validation of A Disintegrin and Metalloprotease (ADAM) 17 Gene Missense Variants: Structural Bioinformatics Study. JMIR Bioinformatics and Biotechnology 2025;6:e72133 View