Development of a machine learning-based model for predicting the functional outcome of patients with proximal femur fractures

Abstract Early-stage rehabilitation is crucial for the functional recovery of patients with proximal femur fractures. Predicting functional prognosis at such an early stage can simplify the process of planning for transfers and discharge destinations, as well as setting rehabilitation goals. The cur...

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Bibliografski detalji

Glavni autori:	Kyohei Nozawa, Satoshi Maki, Issei Tanaka, Kazuhide Inage, Yasuhiro Shiga, Masahiro Inoue, Yawara Eguchi, Takeo Furuya, Junichi Nakamura, Shigeo Hagiwara, Yuya Kawarai, Seiji Ohtori, Sumihisa Orita
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2025-12-01
Serija:	Scientific Reports
Teme:	Regression Machine learning Proximal femur fracture AI diagnosis
Online pristup:	https://doi.org/10.1038/s41598-025-29194-w
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