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利用电子健康记录或个体患者数据(IPD)荟萃分析的大数据集对临床预测模型进行外部验证:机遇与挑战

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges.

作者信息

Riley Richard D, Ensor Joie, Snell Kym I E, Debray Thomas P A, Altman Doug G, Moons Karel G M, Collins Gary S

机构信息

Research Institute for Primary Care and Health Sciences, Keele University, Keele ST5 5BG, Staffordshire, UK

Research Institute for Primary Care and Health Sciences, Keele University, Keele ST5 5BG, Staffordshire, UK.

出版信息

BMJ. 2016 Jun 22;353:i3140. doi: 10.1136/bmj.i3140.

DOI:10.1136/bmj.i3140
PMID:27334381
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4916924/
Abstract

Access to big datasets from e-health records and individual participant data (IPD) meta-analysis is signalling a new advent of external validation studies for clinical prediction models. In this article, the authors illustrate novel opportunities for external validation in big, combined datasets, while drawing attention to methodological challenges and reporting issues.

摘要

获取来自电子健康记录的大型数据集以及个体参与者数据(IPD)荟萃分析,标志着临床预测模型外部验证研究的新出现。在本文中,作者阐述了在大型组合数据集中进行外部验证的新机遇,同时提请注意方法学挑战和报告问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/b8f76657fe39/rilr031641.f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/7be91209176f/rilr031641.f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/afd8ce8e7d40/rilr031641.f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/443f8150eb8a/rilr031641.f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/3147ea3004b2/rilr031641.f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/ade18dd876d9/rilr031641.f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/b8f76657fe39/rilr031641.f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/7be91209176f/rilr031641.f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/afd8ce8e7d40/rilr031641.f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/443f8150eb8a/rilr031641.f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/3147ea3004b2/rilr031641.f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/ade18dd876d9/rilr031641.f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f880/4916924/b8f76657fe39/rilr031641.f6.jpg

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