Research on Osteoporosis Risk Assessment Based on Semi-supervised Machine Learning-Reference-Cited by-同舟云学术

Research on Osteoporosis Risk Assessment Based on Semi-supervised Machine Learning

Published:2020-07-31 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference
language:
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Author:

Lu Lei¹,Tao Luo²,Yining Wang²,Jiahui Han²,Jianfeng Li²

Affiliation:

1. School of Information and Communications Engineering, Beijing University of Posts and Telecommunications Beijing, China

2. School of Information and Communications Engineering, Beijing University of Posts and Telecommunications, Beijing, China

Publisher

ACM

Reference15 articles.

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2. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report[J];Kanis J;Osteoporos Int,1994

3. Luo T Li JF Han JH Wang YN Lei L.An osteoporosis evaluation method based on multi-modal feature fusion [J / OL]. Journal of Beijing University of Posts and Telecommunications: 1--7 [2020-01-14]. https://doi.org/10.13190/j.jbupt.2018-150. Luo T Li JF Han JH Wang YN Lei L.An osteoporosis evaluation method based on multi-modal feature fusion [J / OL]. Journal of Beijing University of Posts and Telecommunications: 1--7 [2020-01-14]. https://doi.org/10.13190/j.jbupt.2018-150.

4. Guidelines for Diagnosis and Treatment of Primary Osteoporosis (2011) [J];Chinese Medical Association Osteoporosis and Bone Mineral Salt Disease Branch;Chinese Journal of Osteoporosis and Bone Mineral Salt Disease,2011

5. Chiu JS Li YC Yu FC Wang Y-F. Applying an artifcial neural network to predict osteoporosis in the elderly. Stud Health Technol Inform. 2006; 124:609--14. Chiu JS Li YC Yu FC Wang Y-F. Applying an artifcial neural network to predict osteoporosis in the elderly. Stud Health Technol Inform. 2006; 124:609--14.

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