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

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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Bibliographic Details
Main Authors: Aixia Guo, Rahmatollah Beheshti, Yosef M. Khan, James R. Langabeer, Randi E. Foraker
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Cardiovascular health (CVH)
The guideline advantage (TGA)
LSTM models
CVH prediction
Precision medicine
Online Access:https://doi.org/10.1186/s12911-020-01345-1

Internet

https://doi.org/10.1186/s12911-020-01345-1

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