Deep neural network-based prediction of walking independence after hip fracture surgery and analysis of contributing factors.
- DOI
- 10.1016/j.jos.2026.07.010
- Published
- 2026 Aug 27
- Container
- Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jos.2026.07.010,
title = {Deep neural network-based prediction of walking independence after hip fracture surgery and analysis of contributing factors.},
author = {Nakamura K and Nagasawa Y and Shimizu M and Yokokawa Y},
year = {2026},
journal = {Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association},
doi = {10.1016/j.jos.2026.07.010},
url = {https://doi.org/10.1016/j.jos.2026.07.010}
}RIS
TY - JOUR TI - Deep neural network-based prediction of walking independence after hip fracture surgery and analysis of contributing factors. AU - Nakamura K AU - Nagasawa Y AU - Shimizu M AU - Yokokawa Y PY - 2026 JO - Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association DO - 10.1016/j.jos.2026.07.010 UR - https://doi.org/10.1016/j.jos.2026.07.010 ER -
APA
K, N., Y, N., M, S., & Y, Y. (2026). Deep neural network-based prediction of walking independence after hip fracture surgery and analysis of contributing factors.. Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association. https://doi.org/10.1016/j.jos.2026.07.010
Source records
- pubmed · retrieved 2026-09-27T11:01:25.168Z