Copyright
©The Author(s) 2021.
World J Clin Cases. Jun 26, 2021; 9(18): 4573-4584
Published online Jun 26, 2021. doi: 10.12998/wjcc.v9.i18.4573
Published online Jun 26, 2021. doi: 10.12998/wjcc.v9.i18.4573
Risk-cutoff value | Age | SVM | Statistical methods | ||
FPR | DR | FPR | DR | ||
270 | Overall | 0.009369 | 0.9295 | 0.032 | 0.913 |
50 | Overall | 0.003081 | 0.913 | 0.007 | 0.82 |
150 | Overall | 0.007039 | 0.9268 | 0.019 | 0.885 |
250 | Overall | 0.008197 | 0.9178 | 0.03 | 0.91 |
500 | Overall | 0.01775 | 0.9266 | 0.053 | 0.937 |
750 | Overall | 0.02299 | 0.9319 | 0.072 | 0.95 |
1000 | Overall | 0.03321 | 0.9305 | 0.088 | 0.958 |
- Citation: Zhang HG, Jiang YT, Dai SD, Li L, Hu XN, Liu RZ. Application of intelligent algorithms in Down syndrome screening during second trimester pregnancy. World J Clin Cases 2021; 9(18): 4573-4584
- URL: https://www.wjgnet.com/2307-8960/full/v9/i18/4573.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v9.i18.4573