在结直肠外科手术中估计术后死亡率 - - 对风险预测模型的系统审查
Alexios Dosis1, Jack Helliwell2, Aron Syversen2
1University of Leeds, Leeds, UK. a.dosis@leeds.ac.uk.
International journal of colorectal disease
|June 1, 2023
概括
机器学习 (ML) 和回归模型在结直肠外科手术中预测术后死亡率方面表现出类似的准确性. 为了在临床实践中广泛采用ML模型,需要进一步精细化.
科学领域:
- 手术结果研究研究.
- 医疗信息学 医疗信息学
- 预测分析是一种预测分析.
背景情况:
- 结直肠外科手术中的传统风险预测模型往往缺乏准确性.
- 机器学习 (ML) 提供了提高预测性能的潜力.
- 这项研究比较了传统的回归模型与ML方法用于术后死亡率预测.
结论:
- 无论是回归模型还是ML模型,在结直肠外科手术中,术后死亡率的预测性能都相当.
- ML整合有望提高结直肠风险预测.
- 进一步的模型开发和验证对于例行临床实施是必要的.
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