Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women.
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| Title: | Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women. |
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| Authors: | Hung WC; Department of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.; School of Medicine for International Students, College of Medicine, I-Shou University School, Kaohsiung, Taiwan.; Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan., Lin YL; Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Douliu, Taiwan., Cheng TT; Department of Internal Medicine, Division of Rheumatology, Allergy and Immunology, Kaohsiung Chang Gung Memorial Hospital and School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan., Chin WL; Department of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan., Tu LT; Enterprise Resource Planning Technical Support and Research and Design Department, InfoChamp Systems Corporation, Kaohsiung, Taiwan., Chen CK; Enterprise Resource Planning Technical Support and Research and Design Department, InfoChamp Systems Corporation, Kaohsiung, Taiwan., Yang CH; Departments of Biological Science and Technology, I-Shou University, Kaohsiung, Taiwan. chyang@isu.edu.tw., Wu CH; Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan. paulo@mail.ncku.edu.tw.; Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan. paulo@mail.ncku.edu.tw. |
| Source: | Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA [Osteoporos Int] 2024 Jan; Vol. 35 (1), pp. 129-141. Date of Electronic Publication: 2023 Sep 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: England NLM ID: 9100105 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1433-2965 (Electronic) Linking ISSN: 0937941X NLM ISO Abbreviation: Osteoporos Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1433-2965 |
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| DOI: | 10.1007/s00198-023-06913-5 |
