Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models

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 predicted base...

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Detalles Bibliográficos
Autores principales: Guo, Aixia, Beheshti, Rahmatollah, Khan, Yosef M., Langabeer, James R., Foraker, Randi E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789405/
https://www.ncbi.nlm.nih.gov/pubmed/33407390
http://dx.doi.org/10.1186/s12911-020-01345-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789405/
https://www.ncbi.nlm.nih.gov/pubmed/33407390
http://dx.doi.org/10.1186/s12911-020-01345-1

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