Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data-Reference-Cited by-同舟云学术

Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)
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Author:

Yu Zehao¹,Yang Xi¹,Chen Yiqing²,Fang Ruogu³,Hogan William R¹,Gong Yan²,Wu Yonghui¹

Affiliation:

1. University of Florida,Department of Health Outcomes and Biomedical Informatics,Gainesville,USA

2. University of Florida,Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine,Gainesville,USA

3. University of Florida,J. Crayton Pruitt Family Department of Biomedical Engineering,Gainesville,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9874441/9874443/09874453.pdf?arnumber=9874453

Reference20 articles.

1. The UK Biobank resource with deep phenotyping and genomic data

2. UK Biobank Data: Come and Get It

3. Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

4. LightGBM: A Highly Efficient Gradient Boosting Decision Tree;ke;Advances in neural information processing systems,2017

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