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本文引用的文献

1
Accuracy of Administrative Coding to Identify Reduced and Preserved Left Ventricular Ejection Fraction.行政编码识别左心室射血分数降低和保留的准确性。
J Card Fail. 2019 Jun;25(6):486-489. doi: 10.1016/j.cardfail.2019.01.019. Epub 2019 Feb 10.
2
Development and Preliminary Validation of a Medicare Claims-Based Model to Predict Left Ventricular Ejection Fraction Class in Patients With Heart Failure.基于医疗保险理赔数据的心力衰竭患者左心室射血分数分级预测模型的开发与初步验证
Circ Cardiovasc Qual Outcomes. 2018 Dec;11(12):e004700. doi: 10.1161/CIRCOUTCOMES.118.004700.
3
Unlocking echocardiogram measurements for heart disease research through natural language processing.通过自然语言处理解锁用于心脏病研究的超声心动图测量方法。
BMC Cardiovasc Disord. 2017 Jun 12;17(1):151. doi: 10.1186/s12872-017-0580-8.
4
Limitations of Administrative Data for Studying Patients Hospitalized With Heart Failure.用于研究心力衰竭住院患者的行政数据的局限性
Ann Intern Med. 2017 Jun 20;166(12):916-917. doi: 10.7326/L17-0077. Epub 2017 May 2.

Updating the Accuracy of Administrative Claims for Identifying Left Ventricular Ejection Fraction Among Patients With Heart Failure.

作者信息

Sandhu Alexander T, Zheng Jimmy, Skye Megan, Heidenreich Paul A

机构信息

Division of Cardiovascular Medicine, Department of Medicine, Stanford University, CA (A.T.S., P.A.H.).

Department of Medicine, Palo Alto VA Veterans Affairs Hospitals, CA (A.T.S., M.S., P.A.H.).

出版信息

Circ Cardiovasc Qual Outcomes. 2023 Apr;16(4):e008919. doi: 10.1161/CIRCOUTCOMES.122.008919. Epub 2023 Mar 16.

DOI:10.1161/CIRCOUTCOMES.122.008919
PMID:36924223
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10121930/
Abstract
摘要