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

IF 1.7 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-11-01 Epub Date: 2023-11-02 DOI:10.1080/10255842.2023.2275246

Yi Xia, Baifu Zhang, Yongliang Zhang

引用次数: 0

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.

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伪值深度生存分析及其在预测癌症IV期肿瘤切除后复发中的应用。

提出了一种改进的DeepServ模型，用于预测结直肠癌癌症IV期患者的预后。我们的模型称为PseudoDeepSrv，通过一种新的损失函数进行优化，该损失函数是平均负对数部分似然和伪观察方法得出的均方误差的组合。包括999名患者的公共生物研究数据集用于绩效评估。我们的PseudoDeepSurv模型在训练和测试数据集上分别产生了0.684和0.633的C指数。而对于原始DeepSurv模型，相应的值分别为0.671和0.618。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.