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

Clinical Information and Decision Making (1328) Artificial Intelligence (1198) Electronic Health Records (966) Machine Learning (1385) Natural Language Processing (644) Nails and Musculoskeletal (18)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22550, first published .
Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation

Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation

Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation

Authors of this article:

Yasmeen Adar Almog1 Author Orcid Image ;   Angshu Rai1 Author Orcid Image ;   Patrick Zhang1 Author Orcid Image ;   Amanda Moulaison1 Author Orcid Image ;   Ross Powell1 Author Orcid Image ;   Anirban Mishra1 Author Orcid Image ;   Kerry Weinberg1 Author Orcid Image ;   Celeste Hamilton2 Author Orcid Image ;   Mary Oates3 Author Orcid Image ;   Eugene McCloskey4 Author Orcid Image ;   Steven R Cummings5 Author Orcid Image
Article Authors Cited by (25) Tweetations (11) Metrics

Yasmeen Adar Almog   1 , BSE ;   Angshu Rai   1 , BTECH, MTECH ;   Patrick Zhang   1 , BSc, MS ;   Amanda Moulaison   1 , BSc ;   Ross Powell   1 , BA ;   Anirban Mishra   1 , BSc, MSc ;   Kerry Weinberg   1 , BSc, MBA, MSc ;   Celeste Hamilton   2 , BHK, MSc, PhD ;   Mary Oates   3 , BSc, MD ;   Eugene McCloskey   4 , MD, FRCP ;   Steven R Cummings   5 , BA, MD, FACP

1 Digital Health & Innovation, Amgen Inc, Thousand Oaks, CA, United States

2 Global Medical Operations, Amgen Inc, Thousand Oaks, CA, United States

3 US Medical, Amgen Inc, Thousand Oaks, CA, United States

4 Department of Oncology & Metabolism, The University of Sheffield, Sheffield, United Kingdom

5 Department of Medicine, University of California San Francisco, San Francisco, CA, United States

Corresponding Author:

  • Yasmeen Adar Almog, BSE
  • Digital Health & Innovation
  • Amgen Inc
  • 1 Amgen Center Drive
  • MS 38-3B
  • Thousand Oaks, CA, 91320
  • United States
  • Phone: 1 4243463036
  • Email: yalmog@amgen.com