Development and verification of prediction models for preventing cardiovascular diseases

OBJECTIVES: Cardiovascular disease (CVD) is one of the major causes of death worldwide. For improved accuracy of CVD prediction, risk classification was performed using national time-series health examination data. The data offers an opportunity to access deep learning (RNN-LSTM), which is widely kn...

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Detalles Bibliográficos
Autores principales: Sung, Ji Min, Cho, In-Jeong, Sung, David, Kim, Sunhee, Kim, Hyeon Chang, Chae, Myeong-Hun, Kavousi, Maryam, Rueda-Ochoa, Oscar L., Ikram, M. Arfan, Franco, Oscar H., Chang, Hyuk-Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752799/
https://www.ncbi.nlm.nih.gov/pubmed/31536581
http://dx.doi.org/10.1371/journal.pone.0222809

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752799/
https://www.ncbi.nlm.nih.gov/pubmed/31536581
http://dx.doi.org/10.1371/journal.pone.0222809

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