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Artificial Intelligence (1748) Machine Learning (1742) Decision Support for Health Professionals (1342) Clinical Informatics (1165) Clinical Information and Decision Making (1661)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40179, first published .
Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation

Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation

Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation

Authors of this article:

Bogyeong Suh1 Author Orcid Image ;   Heejin Yu1 Author Orcid Image ;   Hyeyeon Kim2 Author Orcid Image ;   Sanghwa Lee2 Author Orcid Image ;   Sunghye Kong3 Author Orcid Image ;   Jin-Woo Kim4 Author Orcid Image ;   Jongeun Choi1 Author Orcid Image
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RT @jmirpub: New in JMIR: Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using…

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Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using La… https://t.co/hkvv6n3H4h

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