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麻醉中的风险评分:未来难以预测。

Risk scores in anaesthesia: the future is hard to predict.

作者信息

Drayton Daniel James, Ayres Michael, Relton Samuel D, Sperrin Matthew, Hall Marlous

机构信息

Leeds Institute for Data Analytics, Leeds, UK.

Leeds Institute of Medical Research, Leeds, UK.

出版信息

BJA Open. 2022 Aug 17;3:100027. doi: 10.1016/j.bjao.2022.100027. eCollection 2022 Sep.

DOI:10.1016/j.bjao.2022.100027
PMID:37588581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10430853/
Abstract

External validation helps to assess whether a given risk prediction model will perform well in a target population. Validation is an important step in maintaining the utility of risk prediction models, as their ability to provide reliable risk estimates will deteriorate over time (calibration drift).

摘要

外部验证有助于评估给定的风险预测模型在目标人群中是否会表现良好。验证是维持风险预测模型效用的重要一步,因为它们提供可靠风险估计的能力会随着时间推移而下降(校准漂移)。

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本文引用的文献

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External validity of four risk scores predicting 30-day mortality after surgery.四种预测术后30天死亡率的风险评分的外部效度
BJA Open. 2022 Jun 23;3:100018. doi: 10.1016/j.bjao.2022.100018. eCollection 2022 Sep.
2
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.基于机器学习的肿瘤预后预测模型的方法学研究:系统评价。
BMC Med Res Methodol. 2022 Apr 8;22(1):101. doi: 10.1186/s12874-022-01577-x.
3
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review.医疗保健中基于人工智能的预测模型的指南和质量标准:一项范围综述
NPJ Digit Med. 2022 Jan 10;5(1):2. doi: 10.1038/s41746-021-00549-7.
4
Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?临床预测模型的持续更新与监测:动态预测系统的时代来临了吗?
Diagn Progn Res. 2021 Jan 11;5(1):1. doi: 10.1186/s41512-020-00090-3.
5
Representativeness Is Not Representative: Addressing Major Inferential Threats in the UK Biobank and Other Big Data Repositories.代表性并非具有代表性:应对英国生物银行及其他大数据存储库中的主要推断性威胁。
Epidemiology. 2021 Mar 1;32(2):189-193. doi: 10.1097/EDE.0000000000001317.
6
Detection of calibration drift in clinical prediction models to inform model updating.检测临床预测模型中的校准漂移以指导模型更新。
J Biomed Inform. 2020 Dec;112:103611. doi: 10.1016/j.jbi.2020.103611. Epub 2020 Nov 4.
7
ROC curves for clinical prediction models part 1. ROC plots showed no added value above the AUC when evaluating the performance of clinical prediction models.受试者工作特征曲线在临床预测模型中的应用(一):评估临床预测模型性能时,ROC 曲线在 AUC 之上并未显示出附加价值。
J Clin Epidemiol. 2020 Oct;126:207-216. doi: 10.1016/j.jclinepi.2020.01.028. Epub 2020 Jul 23.
8
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