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Deep survival analysis using pseudo values and its application to predict the recurrence of stage IV colorectal cancer after tumor resection

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  • Yi Xia
  • Baifu Zhang
  • Yongliang Zhang

Abstract

An improved DeepSurv model is proposed for predicting the prognosis of colorectal cancer patients at stage IV. Our model, called as PseudoDeepSurv, is optimized by a novel loss function, which is the combination of the average negative log partial likelihood and the mean-squared error derived from the pseudo-observations approach. The public BioStudies dataset including 999 patients was utilized for performance evaluation. Our PseudoDeepSurv model produced a C-index of 0.684 and 0.633 on the training and testing dataset, respectively. While for the original DeepSurv model, the corresponding values are 0.671 and 0.618, respectively.

Suggested Citation

  • Yi Xia & Baifu Zhang & Yongliang Zhang, 2024. "Deep survival analysis using pseudo values and its application to predict the recurrence of stage IV colorectal cancer after tumor resection," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 27(15), pages 2189-2198, November.
    • Handle: RePEc:taf:gcmbxx:v:27:y:2024:i:15:p:2189-2198
    DOI: 10.1080/10255842.2023.2275246
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