Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction

Current approaches to predicting a cardiovascular disease (CVD) event rely on conventional risk factors and cross-sectional data. In this study, we applied machine learning and deep learning models to 10-year CVD event prediction by using longitudinal electronic health record (EHR) and genetic data....

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Detalles Bibliográficos
Autores principales: Zhao, Juan, Feng, QiPing, Wu, Patrick, Lupu, Roxana A., Wilke, Russell A., Wells, Quinn S., Denny, Joshua C., Wei, Wei-Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345960/
https://www.ncbi.nlm.nih.gov/pubmed/30679510
http://dx.doi.org/10.1038/s41598-018-36745-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345960/
https://www.ncbi.nlm.nih.gov/pubmed/30679510
http://dx.doi.org/10.1038/s41598-018-36745-x

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