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

Bogyeong Suh   1 * , BE ;   Heejin Yu   1 * , BE ;   Hyeyeon Kim   2 , MSD, MD ;   Sanghwa Lee   2 , MD, PhD ;   Sunghye Kong   3 , MD ;   Jin-Woo Kim   4 , DDS, PhD ;   Jongeun Choi   1 , PhD

1 School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea

2 Department of Family Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea

3 Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

4 Department of Oral and Maxillofacial Surgery, School of Medicine, Ewha Womans University, Seoul, Republic of Korea

*these authors contributed equally

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