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 | 97.65 | 98.44 | C9 | NaN | NaN |
C2 | 89.54 | 90.23 | C10 | 98.49 | 99.83 |
C3 | 98.76 | 99.08 | C11 | NaN | NaN |
C4 | 99.14 | 99.12 | C12 | NaN | NaN |
C5 | 98.26 | 98.74 | C13 | NaN | NaN |
C6 | 94.29 | 96.63 | C14 | 98.16 | 98.94 |
C7 | NaN | NaN | C15 | NaN | NaN |
C8 | NaN | NaN | C16 | 87.63 | 89.90 |
Average PPV | LSTM | 95.76 | Average PPV | RST-LSTM | 96.77 |
- 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