最近有很多跟我们合作分析的客户，跟我们沟通，说你们做的好多模型，怎么都不能利用拟合公式表达出来，这位同学，你得给我站起来听课了，谁说的模型就一定得用公式表达出来啊，不能利用公式表达的多了去了。

今天小编就来盘点下，我们公号上解读过的，那些奇葩的风险模型。

1、单因素cox+PCA模型 

参考文献：Mast cell-based molecular subtypes and signature associated with clinical outcome in early-stage lung adenocarcinoma 2、随机森林+人工神经网络模型：Gene_Score* Gene_Weight 

 参考文献：A 23 gene–based molecular prognostic score precisely predicts overall survival of breast cancer patients  

3、cox回归+PCA+CIHI  

 参考文献：Identification and validation of a combined hypoxia and immune index for triple-negative breast cancer：10.1002/1878-0261.12747 4、常微分方程动态模型：

 无免疫治疗与有免疫治疗参考文献：A mathematical prognosis model for pancreatic cancer patients receiving immunotherapy：DOI: 10.1016/j.jtbi.2016.06.021 5、分类和回归树+单因素cox

 参考文献：A Hierarchical Prognostic Model for Risk Stratification in Patients With Early Breast Cancer According to 18 F-fludeoxyglucose Uptake and Clinicopathological Parameters ：DOI: 10.1002/cam4.1394 6、混合离散连续体模型 

 参考文献：Mathematical Modeling of Cancer: The Future of Prognosis and Treatment ：DOI: 10.1016/j.cccn.2005.03.023  7、GuanRank+GPR

参考文献：Prognostic model for multiple myeloma progression integrating gene expression and clinical features：DOI: 10.1093/gigascience/giz153 8、FPC+cox回归 

参考文献：A prognostic model of Alzheimer’s disease relying on multiple longitudinal measures and time-to-event data ：DOI: 10.1016/j.jalz.2017.11.004 

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