Prediction of high-level fear of cancer recurrence in breast cancer survivors: An integrative approach utilizing random forest algorithm and visual nomogram-Reference-Cited by-同舟云学术

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Prediction of high-level fear of cancer recurrence in breast cancer survivors: An integrative approach utilizing random forest algorithm and visual nomogram

Published:2024-06 Issue: Volume:70 Page:102579
ISSN:1462-3889
Container-title:European Journal of Oncology Nursing
language:en
Short-container-title:European Journal of Oncology Nursing

Author:

Ren Hui^ORCID,Yang Tianye,Yin Xin,Tong Lingling,Shi Jianjun,Yang Jia,Zhu Zhu,Li Hongyan

Publisher

Elsevier BV

Reference50 articles.

1. A systematic review of fear of cancer recurrence among indigenous and minority peoples;Anderson;Front. Psychol.,2021

2. Exploring characteristics, predictors, and consequences of fear of cancer recurrence among Asian-American breast cancer survivors;Ashing;Psycho Oncol.,2017

3. Who do we miss when screening for postpartum depression? A population-based study in a Swedish region;Brann;J. Affect. Disord.,2021

4. Random forests, machine learning 45;Breiman;J. Clin. Microbiol.,2001

5. A systematic review and meta-analysis of the brief illness perception questionnaire;Broadbent;Psychol. Health,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reliability, validity, and sensitivity of the Chinese Life Attitude Self‐rating Questionnaire for Breast Cancer;Journal of Evaluation in Clinical Practice;2024-08-18

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