Predicting Family Intimacy in Cancer Patients Using Interpretable Machine Learning: Emphasizing Resilience and Self‐Esteem

Wen Li; Jingcheng Wen; Nuo Zhang; Ting Li; Hongli Li; Yawen Zhang; Jie Zhang; Yuhan Lu; Dong Pang; Hong Yang; Wen Li; Jingcheng Wen; Nuo Zhang; Ting Li; Hongli Li; Yawen Zhang; Jie Zhang; Yuhan Lu; Dong Pang; Hong Yang

doi:10.1155/ecc/9070051

2025 Volume 2025

Article Contents

Next Previous

RESEARCH ARTICLE Open Access

Predicting Family Intimacy in Cancer Patients Using Interpretable Machine Learning: Emphasizing Resilience and Self‐Esteem

More Information

Published online: 28 December 2025
European Journal of Cancer Care 2025, Article number: 10.1155/ecc/9070051 (2025) | Cite this article

Rights and permissions
Copyright: © 2025 by the author(s). Exclusive Licensee Maximum Academic Press, Fayetteville, GA. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.

About this article

Cite this article

Wen Li, Jingcheng Wen, Nuo Zhang, Ting Li, Hongli Li, Yawen Zhang, Jie Zhang, Yuhan Lu, Dong Pang, Hong Yang. 2025. Predicting Family Intimacy in Cancer Patients Using Interpretable Machine Learning: Emphasizing Resilience and Self‐Esteem. European Journal of Cancer Care. 2025:51 doi: 10.1155/ecc/9070051

Wen Li, Jingcheng Wen, Nuo Zhang, Ting Li, Hongli Li, Yawen Zhang, Jie Zhang, Yuhan Lu, Dong Pang, Hong Yang. 2025. Predicting Family Intimacy in Cancer Patients Using Interpretable Machine Learning: Emphasizing Resilience and Self‐Esteem. European Journal of Cancer Care. 2025:51 doi: 10.1155/ecc/9070051

Download PDF

Article Metrics

Article views(16) PDF downloads(18)