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Can I read RuleFit-Based Nomogram Using Inflammatory Indicators for Predicting Survival in Nasopharyngeal Carcinoma, a Bi-Center Study on EtoBox?
RuleFit-Based Nomogram Using Inflammatory Indicators for Predicting Survival in Nasopharyngeal Carcinoma, a Bi-Center Study by Chao Luo; Shuqi Li; Qin Zhao; Qiaowen Ou; Wenjie Huang; Guangying Ruan; Shaobo Liang; Lizhi Liu; Yu Zhang; Haojiang Li is a Medicine article available to read on EtoBox.
What is RuleFit-Based Nomogram Using Inflammatory Indicators for Predicting Survival in Nasopharyngeal Carcinoma, a Bi-Center Study about?
## Purpose Traditional prognostic studies utilized different cut-off values, without evaluating potential information contained in inflammation-related hematological indicators. Using the interpretable machine-learning algorithm RuleFit, this study aimed to explore valuable inflammatory rules reflecting prognosis in nasopharyngeal carcinoma (NPC) patients. ## Patients and Methods In total, 1706 biopsy-proven NPC patients treated in two independent hospitals (1320 and 386) between January 2010 and March 2014 were included. RuleFit was used to develop risk-predictive rules using hematological indicators with no distributive difference between the two centers. Time-event-dependent hematological rules were further selected by stepwise multivariate Cox analysis. Combining high-efficiency hematological rules and clinical predictors, a final model was established. Models based on other algorithms (AutoML, Lasso) and clinical predictors were built for comparison, as well as a reported nomogram. Area under the receiver operating characteristic curve (AUROC) and concordance index (C-index) were used to verify the predictive precision of different models. A site-based app was established for
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- Author
- Chao Luo; Shuqi Li; Qin Zhao; Qiaowen Ou; Wenjie Huang; Guangying Ruan; Shaobo Liang; Lizhi Liu; Yu Zhang; Haojiang Li
- Publisher
- Informa UK Limited
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)