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Initial Validation of a Machine Learning-Derived Prognostic Test (KidneyIntelX) Integrating Biomarkers and Electronic Health Record Data To Predict Longitudinal Kidney Outcomes

机译：机器学习衍生的预后测试（KidneyIntelx）整合生物标志物和电子健康记录数据的初始验证，以预测纵向肾脏结果

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Kinsuk Chauhan; Girish N. Nadkarni; Fergus Fleming; James McCullough; Cijiang J. He; John Quackenbush; Barbara Murphy; Michael J. Donovan; Steven G. Coca; Joseph V. Bonventre;
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2. Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery [J] . Xingmin Aaron Zhang, Amy Yates, Nicole Vasilevsky, npj Digital Medicine . 2019,第1期

机译：深度表型和生物标志物发现电子健康记录临床实验室试验的语义整合
3. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study [J] . Chien-Ning Hsu, Chien-Liang Liu, You-Lin Tain, Journal of medical Internet research . 2020,第8期

机译：电子卫生记录社区急性肾脏损伤住院风险预测机器学习模型：开发与验证研究
4. Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients [C] . Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, IEEE International Conference on Bioinformatics and Biomedicine . 2020

机译：电子健康记录数据稀疏纵向表示，用于糖尿病患者慢性肾病早期检测
5. Validating and testing a model to predict adoption of electronic personal health record systems in the self-management of chronic illness in the older adult [D] . Logue, Melanie Dane 2011

机译：验证和测试模型以预测在老年人慢性病的自我管理中采用电子个人健康记录系统
6. Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records [O] . Shengpu Tang, Grant T. Chappell, Amanda Mazzoli, -1

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Initial Validation of a Machine Learning-Derived Prognostic Test (KidneyIntelX) Integrating Biomarkers and Electronic Health Record Data To Predict Longitudinal Kidney Outcomes

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