Cox Regression with Correlation Based Regularization for Electronic Health Records

@article{Vinzamuri2013CoxRW,
  title={Cox Regression with Correlation Based Regularization for Electronic Health Records},
  author={Bhanukiran Vinzamuri and Chandan K. Reddy},
  journal={2013 IEEE 13th International Conference on Data Mining},
  year={2013},
  pages={757-766}
}
Survival Regression models play a vital role in analyzing time-to-event data in many practical applications ranging from engineering to economics to healthcare. These models are ideal for prediction in complex data problems where the response is a time-to-event variable. An event is defined as the occurrence of a specific event of interest such as a chronic health condition. Cox regression is one of the most popular survival regression model used in such applications. However, these models have… CONTINUE READING
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