LSTM-XGBoost Based RR Intervals Time Series Prediction Method in Hypertensive Patients
ObjectiveThe prediction of RR intervals in hypertensive patients can help clinicians to analyze and warn patients' heart condition. MethodsUsing 8 patients' data as samples, the RR intervals of patients were predicted by long short-term memory network (LSTM) and gradient lift tree (XGBoost...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Chinese Journal of Medical Instrumentation
2024-07-01
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| Series: | Zhongguo yiliao qixie zazhi |
| Subjects: | |
| Online Access: | https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.230728 |
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