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

Machine Learning (1434) Clinical Information and Decision Making (1374) Imaging Informatics (190) Nails and Musculoskeletal (24)

Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18846, first published .
Chronological Age Assessment in Young Individuals Using Bone Age Assessment Staging and Nonradiological Aspects: Machine Learning Multifactorial Approach

Chronological Age Assessment in Young Individuals Using Bone Age Assessment Staging and Nonradiological Aspects: Machine Learning Multifactorial Approach

Chronological Age Assessment in Young Individuals Using Bone Age Assessment Staging and Nonradiological Aspects: Machine Learning Multifactorial Approach

Authors of this article:

Ana Luiza Dallora1 Author Orcid Image ;   Ola Kvist2 Author Orcid Image ;   Johan Sanmartin Berglund1 Author Orcid Image ;   Sandra Diaz Ruiz2 Author Orcid Image ;   Martin Boldt3 Author Orcid Image ;   Carl-Erik Flodmark4 Author Orcid Image ;   Peter Anderberg1 Author Orcid Image
Article Authors Cited by (6) Tweetations (1) Metrics

Ana Luiza Dallora   1 , PhD ;   Ola Kvist   2 , MD ;   Johan Sanmartin Berglund   1 , PhD, MD ;   Sandra Diaz Ruiz   2 , PhD, MD ;   Martin Boldt   3 , PhD ;   Carl-Erik Flodmark   4 , PhD, MD ;   Peter Anderberg   1 , PhD

1 Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden

2 Department of Pediatric Radiology, Karolinska University Hospital, Stockholm, Sweden

3 Department of Computer Science, Blekinge Institute of Technology, Karlskrona, Sweden

4 Department of Clinical Sciences, Lund University, Lund, Sweden

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