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

JMIR Theme Issue: COVID-19 Special Issue (2496) Artificial Intelligence (1747) Clinical Information and Decision Making (1661) Decision Support for Health Professionals (1342) Machine Learning (1742) Infectious Diseases (non-STD/STI) (1658)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.09.18.20197582v1, first published .
Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development

Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development

Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development

Authors of this article:

Christopher D'Ambrosia1 Author Orcid Image ;   Henrik Christensen1 Author Orcid Image ;   Eliah Aronoff-Spencer2 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics
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Oncology & Machine Learning Oncology & Machine Learning @MlOncology

Ruling In and Ruling Out COVID-19: Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging and Test Data https://t.co/HI8dYVMeRv

12:10 AM · Dec 11, 2020

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Sven Awege Sven Awege @SVENNIECO

Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development https://t.co/ji4xt3z2ZT

4:17 PM · Dec 16, 2020

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Developmen… https://t.co/ca0WHB630w

5:09 PM · Dec 16, 2020

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Henrik I Christensen Henrik I Christensen @hiskov

Anyone wonder if they have/had COVID? Fever and cough but a negative test? Feeling good but your test was positive?… https://t.co/MXchRWnQWE

8:40 PM · Dec 18, 2020

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