Copyright
©The Author(s) 2022.
World J Clin Cases. Sep 16, 2022; 10(26): 9207-9218
Published online Sep 16, 2022. doi: 10.12998/wjcc.v10.i26.9207
Published online Sep 16, 2022. doi: 10.12998/wjcc.v10.i26.9207
Class No. | LSTM | RST-LSTM | Class No. | LSTM | RST-LSTM |
C1 | 96.74 | 98.14 | C9 | NaN | NaN |
C2 | 84.27 | 86.45 | C10 | 97.45 | 98.32 |
C3 | 98.79 | 99.16 | C11 | NaN | NaN |
C4 | 97.56 | 98.87 | C12 | NaN | NaN |
C5 | 98.23 | 98.12 | C13 | NaN | NaN |
C6 | 90.29 | 92.64 | C14 | 98.34 | 99.05 |
C7 | NaN | NaN | C15 | NaN | NaN |
C8 | NaN | NaN | C16 | 83.11 | 85.36 |
Average NPV | LSTM | 93.86 | Average NPV | RST-LSTM | 95.12 |
- Citation: Dami S. Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic. World J Clin Cases 2022; 10(26): 9207-9218
- URL: https://www.wjgnet.com/2307-8960/full/v10/i26/9207.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i26.9207