Acute coronary syndrome risk prediction by ensemble‐MLPs
Abstract Acute coronary syndrome (ACS) is a serious cardiovascular disease. The ACS risk prediction model is of great significance during the hospitalisation of ACS patients. However, traditional machine learning methods are not effective in predicting risk events in the ACS treatment process becaus...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | Electronics Letters |
| Online Access: | https://doi.org/10.1049/ell2.12499 |