Development and verification of prediction models for preventing cardiovascular diseases.
<h4>Objectives</h4>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),...
Main Authors: | Ji Min Sung, In-Jeong Cho, David Sung, Sunhee Kim, Hyeon Chang Kim, Myeong-Hun Chae, Maryam Kavousi, Oscar L Rueda-Ochoa, M Arfan Ikram, Oscar H Franco, Hyuk-Jae Chang |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0222809 |
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