Cargando…
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...
| Autores principales: | , , , , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
|
| Materias: | |
| 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 |