Purpose of review 

The exploration for accurate ways to predict survival for advanced cancer patients continues to be a significant theme despite the advent of objective criteria and their combination with clinical criteria. The purpose of this article was to review some of the latest studies relating to prognostication and the capacity to predict survival during the terminal cancer stage.

Recent findings 

Recent studies show notable prognostication approaches using genetic tests and advanced computation methods such as machine learning, which we will summarize.

Summary 

Significant effort has been made to improve the accuracy of survival estimation for advanced cancer patients. The main goals are to optimize individualized patient management and uses of resources. Advanced techniques, including genetic markers and machine learning techniques, may improve the accuracy of prediction.

中文翻译：

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晚期癌症患者的生存预测——叙述性综述

审查目的 

尽管出现了客观标准及其与临床标准的结合，但探索预测晚期癌症患者生存的准确方法仍然是一个重要主题。本文的目的是回顾一些与预后和预测晚期癌症生存期的能力相关的最新研究。

最近的发现 

最近的研究表明使用基因测试和机器学习等高级计算方法的显着预测方法，我们将对此进行总结。

概括 

已经做出重大努力来提高晚期癌症患者生存估计的准确性。主要目标是优化个性化患者管理和资源使用。包括遗传标记和机器学习技术在内的先进技术可能会提高预测的准确性。