Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study

Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study

Abstract Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients may be reluctant to cough and move due to misperception, internal fear or fear of pain, and avoid rehabilitation training affecting postoperative recovery. Therefore, it is clinically important...

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Bibliographic Details
Main Authors: Chuang Li, Youbei Lin, Xuyang Xiao, Xinru Guo, Jinrui Fei, Yanyan Lu, Junling Zhao, Lan Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Postoperative lung cancer
Machine learning
Kinesiophobia
Positive coping style
Postoperative rehabilitation
Risk factors
Online Access:https://doi.org/10.1038/s41598-025-03575-7
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https://doi.org/10.1038/s41598-025-03575-7

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