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

New Methods (945)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18911, first published .
Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System

Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System

Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System

Authors of this article:

Ashenafi Zebene Woldaregay1 Author Orcid Image ;   Ilkka Kalervo Launonen2 Author Orcid Image ;   Eirik Årsand1 Author Orcid Image ;   David Albers3, 4 Author Orcid Image ;   Anna Holubová5, 6 Author Orcid Image ;   Gunnar Hartvigsen1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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  2. Yoo A, Park S, Lee H. Evaluating the Efficacy of Pharmacological Therapy for Prader-Willi Syndrome: A Systematic Review and Meta-analysis. Korean Journal of Clinical Pharmacy 2022;32(4):336 View
  3. Xuan Y, Zhao J, Hong X, Yan T, Zhang Y, Zhou X, Zhang J, Wang B. Transition of the genital mollicutes from the second to the third trimester of pregnancy and its association with adverse pregnancy outcomes in GDM women: a prospective, single-center cohort study from China. BMC Pregnancy and Childbirth 2024;24(1) View