Copyright
©The Author(s) 2024.
World J Clin Cases. Mar 6, 2024; 12(7): 1235-1242
Published online Mar 6, 2024. doi: 10.12998/wjcc.v12.i7.1235
Published online Mar 6, 2024. doi: 10.12998/wjcc.v12.i7.1235
Samples | Measured results | Number of cases | Predicted results | ||
Non-ICU-AW | ICU-AW | Correct percentage (%) | |||
Training set | Non-ICU-AW | 503 | 443 | 60 | 88.1 |
ICU-AW | 257 | 45 | 212 | 82.5 | |
Total | 760 | 448 | 272 | 86.2 | |
Test set | Non-ICU-AW | 190 | 169 | 21 | 88.9 |
ICU-AW | 113 | 23 | 90 | 79.6 | |
Total | 303 | 192 | 111 | 85.5 |
- Citation: Wang L, Long DY. Significant risk factors for intensive care unit-acquired weakness: A processing strategy based on repeated machine learning. World J Clin Cases 2024; 12(7): 1235-1242
- URL: https://www.wjgnet.com/2307-8960/full/v12/i7/1235.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v12.i7.1235