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

Formative Evaluation of Digital Health Interventions (1477) Public (e)Health (340) JMIR Theme Issue: COVID-19 Special Issue (2087) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1330) Outbreak and Pandemic Preparedness and Management (1453) Infectious Diseases (non-STD/STI) (1223) Machine Learning (1004) Surveillance Systems (359)

Published on in Vol 6 , No 3 (2022) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35181, first published .
Impact of a Conformité Européenne (CE) Certification–Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: Register-Based Study Using Machine Learning Methods

Impact of a Conformité Européenne (CE) Certification–Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: Register-Based Study Using Machine Learning Methods

Impact of a Conformité Européenne (CE) Certification–Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: Register-Based Study Using Machine Learning Methods

Authors of this article:

Leevi Limingoja 1 Author Orcid Image ;   Kari Antila 2 Author Orcid Image ;   Vesa Jormanainen 1, 3 Author Orcid Image ;   Joel Röntynen 4 Author Orcid Image ;   Vilma Jägerroos 4 Author Orcid Image ;   Leena Soininen 5 Author Orcid Image ;   Hanna Nordlund 6 Author Orcid Image ;   Kristian Vepsäläinen 3, 7 Author Orcid Image ;   Risto Kaikkonen 4 Author Orcid Image ;   Tea Lallukka 1 Author Orcid Image
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