Novel algorithm generating strategy to identify high fracture risk population using a hybrid intervention threshold.

MLA

Hsu, Chung-Yuan, et al. “Novel Algorithm Generating Strategy to Identify High Fracture Risk Population Using a Hybrid Intervention Threshold.” Journal of Bone & Mineral Metabolism, vol. 38, no. 2, Mar. 2020, pp. 213–21. EBSCOhost, https://doi.org/10.1007/s00774-019-01046-4.

APA

Hsu, C.-Y., Wu, C.-H., Yu, S.-F., Su, Y.-J., Chiu, W.-C., Chen, Y.-C., Lai, H.-M., Chen, J.-F., Ko, C.-H., Chen, J.-F., & Cheng, T.-T. (2020). Novel algorithm generating strategy to identify high fracture risk population using a hybrid intervention threshold. Journal of Bone & Mineral Metabolism, 38(2), 213–221. https://doi.org/10.1007/s00774-019-01046-4

Chicago

Hsu, Chung-Yuan, Chih-Hsing Wu, Shan-Fu Yu, Yu-Jih Su, Wen-Chan Chiu, Ying-Chou Chen, Han-Ming Lai, et al. 2020. “Novel Algorithm Generating Strategy to Identify High Fracture Risk Population Using a Hybrid Intervention Threshold.” Journal of Bone & Mineral Metabolism 38 (2): 213–21. doi:10.1007/s00774-019-01046-4.