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

New Methods (946) Decision Support for Health Professionals (1191) Machine Learning (1471) Hygiene and Infection Prevention (318) Infectious Diseases (non-STD/STI) (1576) Surveillance Systems (462)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18912, first published .
A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

Authors of this article:

Ashenafi Zebene Woldaregay1 Author Orcid Image ;   Ilkka Kalervo Launonen2 Author Orcid Image ;   David Albers3, 4 Author Orcid Image ;   Jorge Igual5 Author Orcid Image ;   Eirik Årsand1 Author Orcid Image ;   Gunnar Hartvigsen1 Author Orcid Image
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