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

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2457) Machine Learning (1488) Decision Support for Health Professionals (1201) Artificial Intelligence (1407) Imaging Informatics (198)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25181, first published .
Machine Learning Models for Image-Based Diagnosis and Prognosis of COVID-19: Systematic Review

Machine Learning Models for Image-Based Diagnosis and Prognosis of COVID-19: Systematic Review

Machine Learning Models for Image-Based Diagnosis and Prognosis of COVID-19: Systematic Review

Authors of this article:

Mahdieh Montazeri1 Author Orcid Image ;   Roxana ZahediNasab2 Author Orcid Image ;   Ali Farahani2 Author Orcid Image ;   Hadis Mohseni2 Author Orcid Image ;   Fahimeh Ghasemian2 Author Orcid Image
Article Authors Cited by (18) Tweetations (11) Metrics

Mahdieh Montazeri   1 , MSc ;   Roxana ZahediNasab   2 , MSc ;   Ali Farahani   2 , MSc ;   Hadis Mohseni   2 , PhD ;   Fahimeh Ghasemian   2 , PhD

1 Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

2 Computer Engineering Department, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

Corresponding Author:

  • Fahimeh Ghasemian, PhD
  • Computer Engineering Department, Faculty of Engineering
  • Shahid Bahonar University of Kerman
  • Pajoohesh Sq, PO Box: 76169-14111
  • Kerman
  • Iran
  • Phone: 98 9133924837
  • Fax: 98 3433257501
  • Email: ghasemianfahime@uk.ac.ir