Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models
Abstract Background Cardiovascular disease (CVD) is the leading cause of death in the United States (US). Better cardiovascular health (CVH) is associated with CVD prevention. Predicting future CVH levels may help providers better manage patients’ CVH. We hypothesized that CVH measures can be predic...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2021-01-01
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| coleção: | BMC Medical Informatics and Decision Making |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s12911-020-01345-1 |
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