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Multiscale classification of heart failure phenotypes by unsupervised clustering of unstructured electronic medical record data

机译：无监督对非结构化电子医疗记录数据的无监督集群的心力衰竭表型的多尺度分类

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Tasha Nagamine; Brian Gillette; Alexey Pakhomov; John Kahoun; Hannah Mayer; Rolf Burghaus; Jörg Lippert; Mayur Saxena;
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1. A Robust e-Epidemiology Tool in Phenotyping Heart Failure with Differentiation for Preserved and Reduced Ejection Fraction: the Electronic Medical Records and Genomics (eMERGE) Network [J] . Bielinski Suzette J., Pathak Jyotishman, Carrell David S., Journal of cardiovascular translational research . 2015,第8期

机译：用于区分心力衰竭并区分射血分数和保留射血分数的可靠的电子流行病学工具：电子病历和基因组学（eMERGE）网络
2. Accuracy of claim data in the identification and classification of adults with congenital heart diseases in electronic medical records [J] . Cohen Sarah, Jannot Anne-Sophie, Iserin Laurence, Archives of cardiovascular diseases . 2019,第1期

机译：在电子病历中具有先天性心脏病的成人鉴定和分类中的权利要求和分类的准确性
3. Monitoring quality of care in acute myocardial infarction complicated by acute heart failure using electronic medical record data: Experience of an underdeveloped country network [J] . Rodríguez-Ramos Miguel Alejandro, Santos-Medina Maikel, Chaviano de la Paz Wilfredo, Insuficiencia Cardiaca . 2021,第1期

机译：使用电子医疗记录数据监测急性心肌梗死复杂的护理质量：欠发达国网络的经验
4. Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records [C] . Yajuan Wang, Ng Kenney, Byrd Roy J., Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2015

机译：通过电子健康记录中的结构化和非结构化数据，以不同的预测窗口对心力衰竭进行早期检测
5. Understanding, evaluating and enhancing electronic medical record adoption in a primary caresetting: A programme to improve electronic medical record data quality and its effect on familypractice provision of incentivized and enhanced care for chronic disease patients [D] . Bowen, Michael. 2013

机译：了解，评估和增强在初级护理环境中采用电子病历的方案：一项旨在提高电子病历数据质量及其对家庭实践的激励措施的计划，该方案为慢性病患者提供激励和加强护理
6. Early Detection of Heart Failure with Varying Prediction Windows by Structured and Unstructured Data in Electronic Health Records [O] . Yajuan Wang, Kenney Ng, Roy J. Byrd, -1

机译：通过电子病历中的结构化和非结构化数据利用不同的预测窗口对心力衰竭进行早期检测
7. Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure [O] . Vaclav Papez, Maxim Moinat, Stefan Payralbe, 2021

机译：使用OMOP公共数据模型转换和评估电子健康记录疾病表型算法：心力衰竭的案例研究

Multiscale classification of heart failure phenotypes by unsupervised clustering of unstructured electronic medical record data

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