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本文引用的文献

1
In-depth mining of clinical data: the construction of clinical prediction model with R.临床数据的深度挖掘：使用R构建临床预测模型。
Ann Transl Med. 2019 Dec;7(23):796. doi: 10.21037/atm.2019.08.63.
2
Alert-based computerized decision support for high-risk hospitalized patients with atrial fibrillation not prescribed anticoagulation: a randomized, controlled trial (AF-ALERT).针对未接受抗凝治疗的高危住院房颤患者的基于警报的计算机化决策支持：一项随机对照试验（AF-ALERT）
Eur Heart J. 2020 Mar 7;41(10):1086-1096. doi: 10.1093/eurheartj/ehz385.
3
Prediction models for cardiovascular disease risk in the general population: systematic review.普通人群心血管疾病风险预测模型：系统评价
BMJ. 2016 May 16;353:i2416. doi: 10.1136/bmj.i2416.
4
How to Develop, Validate, and Compare Clinical Prediction Models Involving Radiological Parameters: Study Design and Statistical Methods.如何开发、验证和比较涉及放射学参数的临床预测模型：研究设计与统计方法
Korean J Radiol. 2016 May-Jun;17(3):339-50. doi: 10.3348/kjr.2016.17.3.339. Epub 2016 Apr 14.
5
How to Establish Clinical Prediction Models.如何建立临床预测模型。
Endocrinol Metab (Seoul). 2016 Mar;31(1):38-44. doi: 10.3803/EnM.2016.31.1.38.
6
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.透明报告个体预后或诊断的多变量预测模型（TRIPOD）：解释和说明。
Ann Intern Med. 2015 Jan 6;162(1):W1-73. doi: 10.7326/M14-0698.
7
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.透明报告个体预后或诊断的多变量预测模型（TRIPOD）：TRIPOD 声明。
Ann Intern Med. 2015 Jan 6;162(1):55-63. doi: 10.7326/M14-0697.
8
Towards better clinical prediction models: seven steps for development and an ABCD for validation.迈向更好的临床预测模型：开发的七个步骤及验证的ABCD法
Eur Heart J. 2014 Aug 1;35(29):1925-31. doi: 10.1093/eurheartj/ehu207. Epub 2014 Jun 4.
9
Prognosis and prognostic research: application and impact of prognostic models in clinical practice.预后与预后研究：预后模型在临床实践中的应用与影响
BMJ. 2009 Jun 4;338:b606. doi: 10.1136/bmj.b606.

Clinical prediction models: evaluation matters.

作者信息

Gu Hong-Qiu, Liu Chelsea

机构信息

China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100085, China.

National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100085, China.

出版信息

Ann Transl Med. 2020 Feb;8(4):72. doi: 10.21037/atm.2019.11.143.

DOI:10.21037/atm.2019.11.143
PMID:32175365
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7049031/
Abstract
摘要