A comprehensive evaluation method for frailty based on semi-supervised learning and transfer-learning

• Published in: Information fusion Vol. 111; p. 102504
• Main Authors: Li, Jiaxi, Wang, Zhelong, Wang, Zheng, Qiu, Sen, Peng, Daoyong, Zhang, Ke, Lin, Fang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2024
• Subjects: Frailty evaluation; Gait features; Physiological data; Semi-supervised learning; Transfer-learning; Transfer-learning; Frailty evaluation; Physiological data; Semi-supervised learning; Gait features

Frailty evaluation is of great significance for the specific population, which can speed up the treatment process and reduce the adverse effects after treatment. In this article, in order to make up for the shortcomings of the traditional evaluation methods, a comprehensive intelligent evaluation me...