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Using Deep Learning to Identify High-Risk Patients with Heart Failure withReduced Ejection Fraction
28
Zitationen
9
Autoren
2021
Jahr
Abstract
A DL approach using Bi-LSTM was shown to be a feasible and useful tool to predict HF-related outcomes. This study can help inform the future development and deployment of predictive tools to identify high-risk HFrEF patients and ultimately facilitate targeted interventions in clinical practice.
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